Postdoctoral scholar jobs in Watervliet, NY - 136 jobs

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $184,000/year to $257,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Who we are Why Rensselaer? Join Rensselaer Polytechnic Institute's dynamic global community of changemaker including some of the world's leading researchers, students, alumni, and faculty who ask the important questions and devise the scientific and technological innovations that make the world a better place for all of humanity. Nestled on a beautiful 275-acre campus in upstate NY, Rensselaer is home to five schools, 32 research centers, three makerspaces, an observatory, one of the world's fastest supercomputers, and IBM's Quantum System One - the first university-based quantum computer in the world. Over the past decade, the research portfolio at Rensselaer has been completely transformed. As a top-tier technological research university, Rensselaer has invested in strategic partnerships, talented researchers, and sophisticated research platforms to address the most pressing global challenges of the 21st century. Today, the Rensselaer research enterprise comprises $104 million in annual research expenditures, supports a diverse range of research centers and platforms, and ensures the advancement of interdisciplinary research in six key areas: Life Science & Biotechnology (Bioscience, Bio Manufacturing, Diagnosis) Future Computing (Data / AI, High Performance Computing, Quantum, Bits/Neurons/Qubits) Energy, Environment, and Sustainability (Energy Solutions, Built Environment, Freshwater, Sustainability) Materials & Manufacturing (Mat. Discovery, Mat. Processing, Advanced Manufacturing, Robotics) Microelectronics (Mat. & Metrology, Hardware Co-design, Computational Microelectronics, Hetero-integration) Fundamental Knowledge (AstroX, Origins, Cognitive & Social, Financial) RPI is a leader in the field of life sciences and biotechnology, offering a dynamic environment for research and innovation. The Shirley Ann Jackson, Ph.D. Center for Biotechnology and Interdisciplinary Studies (CBIS) is a key component, focusing on fundamental and translational research to address global health challenges. RPI's Biological Sciences department provides a comprehensive curriculum that prepares students for various career paths in research, medicine, and industry. The institute's commitment to interdisciplinary research and innovative education positions it as a significant player in the biotechnology sector. The Office for Research collaborates with important external partners in the federal and state government, foundations and in industry to expand the impact our work and to support our world-class researchers as they improve lives, advance society, and change the world. The mission of the Office for Research is to drive and support the Research Enterprise, increase Rensselaer impact and visibility, and communicate to the national and international community that Rensselaer researchers are defining the frontiers of discovery and innovation. Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, # astronauts, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit ************ Are you ready to change the world? Apply now! Job Summary Some of the areas that may be hiring researchers and research support positions in the area of Loife Sciences & Biotechnology include: ************************ *********************** ********************* ***************************************************************************************** Bioscience Bio Manufacturing Diagnosis Note: The availability of positions is dependent on the availability of sponsored funding. Not all areas will have all positions, and some areas may be fully staffed. Qualifications Postdoctoral Research Associate - Candidates must have finished all requirements for their PhD or foreign equivalent at the beginning of their appointment Research Associate or (Sr.) Research Scientist - Opportunities exist for those with a relevant advanced degree, publication record, and/or significant additional years of paid professional experience in a related position. Individuals who possess these qualifications and who have the potential to, or a demonstrated track record of being able to build collaborative external partnerships are especially desirable (Sr.) Research Specialist - Positions require a relevant bachelor's degree / foreign equivalent or higher (Sr.) Research Engineer - Research Assistant - candidates must possess an associate's degree / foreign equivalent or relevant combination of experience, education and training Pay transparency data: Pay transparency disclosure: The actual salary/wage that is provided to selected candidates will be determined based on factors that include the available budget, internal equity, and the needs of the department, and the final candidate's qualifications, experience, education, and other job-related credentials. The following hiring ranges are provided as Rensselaer's good faith estimate of the expected hiring range at the time of posting. Postdoctoral Research Associate: $62,354 - $65,000 / yr Research Associate: $64,000 - $66,000 / yr Research Scientist: $66,000 - $95,000 / yr Sr. Research Scientist: $80,000 - $138,000 / yr NOTE: Postdoctoral Research Associate based in NYC at CEPM : $62,354 - $65,000 / yr + 20% NYC pay differential Postdoctoral Research Associate based in NYC at CEPM (619 W 54th St., NY, NY, 10019). Candidates should be comfortable traveling to the RPI Troy campus and within the continental US as needed, based on engaging team projects and evolving business priorities. *** Research Specialist: $18.00 - $26.44 / hr Sr. Research Specialist: $62,354 - 66,000 / yr *** Research Engineer: $66,000 - $86,000 / yr Sr. Research Engineer: $87,000 - $95,000 / yr *** Research Assistant: $16.00 - $22.00 / hr Application instructions Follow the on-screen prompts to create an application. Please be ready to upload any required documents, such as your resume and cover letter If you need assistance with the online application process, please contact *************** Job Posted Date Applications will be accepted until the position is filled. Total Compensation and Benefits Information Rensselaer's Total Compensation Program is designed to provide stable pay growth, a comprehensive and affordable benefits package, and a comprehensive and affordable retiree medical and prescription plan. Rensselaer is recognized locally and nationally for the depth and breadth of its compensation and benefits program. Our goal is to provide you and your family with a comprehensive health and welfare program as an umbrella of financial security and protection during your employment. For more information, please visit Benefits | Human Resources (rpi.edu). Rensselaer Polytechnic Institute is committed to the cultivation of a community that is welcoming, inclusive, and above all values learning. We welcome candidates who bring a variety of perspectives to Rensselaer Polytechnic Institute's work and campus communities. Rensselaer Polytechnic Institute is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, protected veteran status, or other characteristic protected by law.

Job DescriptionTeam Description:Kitware is a leader in the creation of cutting-edge algorithms and software for automated image, video, text, and multimodal analysis. Our solutions embrace artificial intelligence adding measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance artificial intelligence, computer vision, and other related fields through research and development and through collaborative projects that build on our open source software platforms, such as VIAME and Telesculptor. About the Projects: Natural Language Processing (NLP) and Computer Vision research is increasingly interrelated, with common computational approaches and the increasing availability of text + image/video benchmarks. Several current projects leverage recent advances in large language models (LLMs), with applications to diverse domains and use cases like information extraction, decision-making, reasoning, and disinformation mitigation. Related projects entail emphasis on knowledge extraction and representation, multimodal media asset exploitation, understanding written instructions, and more. Kitware's employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware's work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. In this case, you will have the opportunity to contribute your skills to projects focused on national security, making a difference on a daily basis to protect our country. Research and Development Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work. There are also frequent opportunities to collaborate with world renowned academic partners on ongoing research projects. We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, NVESD, NOAA, ONR, other branches of the US military, and multiple members of the Intelligence Community on a range of efforts including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities, and to provide flexible, high-quality technical solutions. If you've used CMake, ITK, or VTK, you know our work and the impact it has on the communities we help build.In This Position You Will: Develop robust solutions in the areas of Natural Language Processing, Large Language Models, Foundation Models, ML, and AI. Develop and evaluate algorithms to understand the textual content of textual and multi-modal data, and/or perform reasoning on extracted data. Enjoy support and encouragement for participation in national and international NLP, machine learning, AI, and/or computer vision conferences. Be encouraged to seek funding to grow and develop your own research areas, if you desire. Required Qualifications: PhD in Computer Science or related field. Strong publication history in NLP (ACL, EMNLP, NAACL) conferences, or other AI venues incorporating NLP (AAAI, ICML, ICLR, NeurIPS). Candidates should include a detailed list of publications as part of their resume/CV. Experience with natural language text generation, foundation models, large language models (LLMs), using one or more of GPT, Claude, BERT, or similar. Highly innovative and demonstrated track record for solving difficult technical challenges. Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment. Due to contractual restrictions, only US Citizens will be considered for this position. If not already cleared TS/SCI, willingness and ability to apply for, use, and maintain a TS/SCI security clearance. Preferred Qualifications: Experience with multiple large multimodal AI models including image, text, and speech modalities. Past work on adapting NLP and LLMs to different domains and applications, including decision-making, reasoning, and inference. Company Description:Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified™. Additional Information:Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. For more information on our benefit offerings please visit: ********************************* Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property. Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees. If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at ************** at any time during the hiring process. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Energy and Environment Directorate delivers science and technology solutions for the nation's biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation's power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The Coastal Sciences Division, part of the Energy and Environment Directorate, is headquartered at PNNL-Sequim, on Washington State's Olympic Peninsula. Our unique facility is the Department of Energy's only marine research laboratory, and the capabilities of its researchers deliver science and technology critical to the nation's energy, environmental, and security future. We focus on research related to marine and coastal resources, environmental chemistry, water resources modeling, marine engineering, environmental modeling and monitoring, and national security-the division is an emerging leader in three areas: + Enabling sustainable development of ocean energy + Understanding and mitigating long-term impacts of human activities, including climate change, on marine resources + Protecting coastal environments from security threats. **Responsibilities** The position will primarily support community driven design for coastal communities. Responsibilities will include leading tasks in projects such as the Energy Technology Innovation Partnership Project (ETIPP (****************************************************************************** ) and Energy to Communities project (E2C). Familiarity with marine energy (e.g., wave, tidal, ocean current), design thinking, community engagement and energy planning is required. The position may also require familiarity with shoreside infrastructure, such as microgrids and transmission, ports, and supply chain issues. The selected candidate will have the opportunity to advance their skills in developing approaches and tools to understand and respond to the needs of rural communities engaging in energy planning. Studies the geosphere, hydrosphere, biosphere, atmosphere, and/or interactions of these systems with human activities. Uses scientific principles, instrument measurements, computer models, data analysis, and knowledge of policy and regulatory drivers to study the environment and/or develop solutions to environmental problems. Leverages knowledge and tools from fields such as ecology, biology, physics, chemistry, geochemistry, soil science, geology, hydrology, atmospheric science, economics, and/or integrated assessment. + Review and synthesize literature, case studies, and tools related to these topics + Collaborate with an interdisciplinary research team at PNNL and other national laboratories to advance modeling approaches and tools for community-driven energy transitions + Lead and contribute to scientific, peer-reviewed publications + Define and lead project work + Network with other professionals at PNNL, in the communities that participate in ETIPP and E2C, and with other energy professionals in the broader community + Lead and contribute to proposals to advance this field of research **Qualifications** Minimum Qualifications: + BS/BA and 2 years of relevant experience -OR- + MS/MA -OR- + PhD Preferred Qualifications: + PhD in engineering, environmental policy, or related field + Familiarity with marine energy, design thinking, community engagement and energy planning + Demonstrated interest and ability to publish work in peer-reviewed journals + Experience working with collaborators with diverse backgrounds and interdisciplinary teams + Familiarity with community engagement + Familiarity with design methodology + Excellent written and oral communication skills + Ability to work independently as well as with a team of interdisciplinary researchers **Hazardous Working Conditions/Environment** Not Applicable **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. * Research Associates excluded. **All benefits are dependent upon eligibility. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $100,100.00/Yr. **Maximum Salary** USD $150,200.00/Yr.

SummaryAs a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. As a global leader in the energy domain, GE Vernova is a purpose-built energy technology company on a mission to electrify and decarbonize the world. Our Artificial Intelligence (AI) team at GE Vernova's Advanced Research Center is at the heart of this mission, developing and demonstrating innovative AI technologies to transform the future of energy. You can be a part of a highly skilled, dynamic and motivated team of AI Researchers, who are laying the groundwork for GE Vernova to succeed in its mission. As a Research Scientist, you will design, develop, and apply innovative AI technologies, including machine learning, deep learning, generative AI, and foundation models, to tackle complex challenges in the energy sector. Your work will span the entire research spectrum, from fundamental theoretical and empirical investigations to prototyping and solution development. You will have the opportunity to work on diverse projects, including power generation, renewable energy, electric grids, robotics, and manufacturing, in collaboration with GE Vernova's business units and a broad network of Researchers across disciplines and domains. Additionally, you will contribute to cutting-edge research programs with external partners in academia and government, driving the advancement of AI research at GE Vernova and pushing the boundaries of human scientific understanding globally.Job Description Roles and Responsibilities Research, conceptualize, and develop AI solutions for hard industrial problems Collaborate with teams of peer Researchers on new and continuing projects Demonstrate value of AI through early prototypes and solutions for real-world problems Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions Create intellectual property by writing invention disclosures and filing patents Publish research work to scientific journals and conferences Writing and/or supporting grant proposals Required Qualifications PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence or MS degree in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a minimum of 2 years of work experience with a focus on Artificial Intelligence Demonstrated ability to write Python code Familiarity with AI, ML, and GenAI packages and frameworks like PyTorch, TensorFlow, HuggingFace, and more Deep expertise in one or more of: Large Language Models (LLM), Time-series or Multi-Modal Foundation Models, Scientific Machine Learning with Physics, Graph Neural Networks. Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters level for employment visas, now or in the future, for this job opening. Because of the specific categories of data handled by GE Vernova Advanced Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of countries subject to comprehensive restrictions under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq. (currently North Korea, Syria, Iran and Cuba). Please note that citizens of these countries who have either “U.S. person” status under U.S. export control laws or subsequent citizenship or permanent residency from a non-restricted country can be considered. Must be willing to work out of an office located in Niskayuna, NY Desired Characteristics PhD focussed on new advancements in Artificial Intelligence Experience in one or more of: Multi-Modal Foundation Models with image, tabular data, and text, Integrating Physics in Machine Learning, Graph Neural Networks for Energy Systems, and Integrating LLM with knowledge graphs. Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DoE, ARPA-E, DoD, and DARPA Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact. The base pay range for this position is $88,600-$147,600 USD. The specific pay offered may be influenced by a variety of factors, including the candidate's education and skill set. This position is also eligible for a performance bonus. This position will be posted until at least 7/28/2025. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $89,300.00 and $148,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on January 05, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

We are looking to fill a **Scientist III - (HPLC) Chromatography - Separations & Molecular Biology - Immunoassay Experience** position working as **a full-time employee of Parexel FSP on long-term assignment** onsite at one of our clients located in **Rahway, NJ.** This position offers full benefits, sick time, 401K, paid holidays, and paid time off. **This position does not offer any sponsorship.** **Description** Support of routine bioanalytical testing of samples from cell-line development, in-process, process development/characterization, forced degradation, release & stability, and pre-formulation. Other potential opportunities include method development/optimization, workflow optimization, and template development. **Responsibilities** + Support of high-throughput, pre-formulation, pre-qualification, robustness, or admixture testing + Results processing and documentation by following appropriate methods / protocols / procedures + Sample management and monitoring of controlled temperature units. + Following all appropriate laboratory safety and hygiene procedures **Qualifications** + BA/BS (3-5 yrs.) of relevant experience in analytical chemistry or biologics testing lab + MS (1-2 yrs.) of relevant experience in analytical chemistry or biologics testing lab **Required Skills and Experience** + Must have separations experience for large molecules or plate-based assay experience. + Experience in analyzing biologics including monoclonal antibodies and/or other therapeutic proteins using at least one of the following techniques: + Liquid Chromatography (HPLC / UPLC) + Protein A Titer, Size Exclusion Chromatography (SEC), Ion Exchange Chromatography (IEX, AEX, CEX), Reverse Phase (RP), or Hydrophobic interaction chromatography (HIC) + Electrophoretic methods such as capillary electrophoresis sodium dodecyl sulfate (CE-SDS) and/or capillary isoelectric focusing (cIEF) + ELISA (HCP, proA) and binding potency assay + qPCR and basic molecular biology techniques (gel electrophoresis, etc.) + High-throughput liquid handling system, e.g., Tecan, Bravo, etc. + Basic instrumentation troubleshooting + **Ability and willingness to train in molecular biology and immunoassay testing** + **Familiarity with Microsoft Office Applications (Outlook, Excel, Word, PowerPoint, OneNote, Teams, etc.)** **Desired Skills and Experience** + Familiarity with compendial testing such as UV 280, pH, and Physical Observations + **Ability to follow complicated scientific protocols / procedures** + Making accurate reagent preparations (dilutions / solutions / buffers / mobile phases) + Good documentation practices & utilization in electronic lab notebooks (ELN) + Analytical software such as Empower. + Knowledge of Laboratory Information Management Systems (LIMS) + Sample submission & sample management + Monitoring of controlled temperature units + Experience with BSL2 (Biosafety Level 2) **About Parexel** Parexel FSP includes the CMC Operations group. We provide pharmaceutical and biopharmaceutical companies with qualified and talented technical professionals to support the development and delivery of new therapies. For results-driven and caring individuals who want to make a meaningful difference in the world, Parexel is trusted by life sciences companies to meet their long-term staffing needs for scientists and engineers and related professionals in discovery and development of novel therapies, keeping patients at the center of everything we do, and where an inclusive community helps you be your best, transforming any career into a life-changing achievement. **Come join us!** \#LI-DK1 EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

ANNOUNCEMENT Research Scientist III Salary Grade 25: $88,938 - $101,067 The Research Foundation for Mental Hygiene, Inc. is seeking a qualified candidate to fill the full-time position of Research Scientist III in the New York State Office of Addiction Services and Supports (OASAS), Division of Planning, Research, Information Management, and Evaluation (PRIME) in response to the continuing overdose crisis. OASAS is calling for new approaches that embrace person-centered care, evidence-based practices, equitable treatment, and harm reduction principles. OASAS envisions a revised treatment system that better retains clients in treatment, mitigates adverse healthcare events, and reduces deaths. To this end, OASAS is embarking on a new collaboration with New York University (NYU) on a National Institutes of Health (NIH) grant to support the transformation of the data architecture and reporting across the OASAS system of care. This Research Scientist III will be responsible for working closely with PRIME leadership in employing data science approaches, techniques, and methods to develop substance use and use disorder measures that reflect agency wide needs in reporting and evaluation. A successful candidate thrives in a highly collaborative, diverse cross-team work environment; has experience in data systems management and process improvement; demonstrates adaptability with the capacity to handle multiple demands and changes in a dynamic fast-paced environment; and has strong organizational, writing, and oral communication skills. Responsibilities include but are not limited to: * Lead a research team within the OASAS Division of Planning, Research, Information Management, and Evaluation (PRIME) and collaborate with the New York University (NYU) research team. * Collaborate with PRIME leadership, responsible for institutional clinical research priorities, goals and key performance indicators. * Utilize advanced research methods, identify gaps between recommended performance measures and existing data collection methods. * Develop and implement innovative solutions to bridge these gaps and ensure robust data collection for research and evaluation purposes. * Oversee independently the preparation documents related to research activities, including study protocols, progress reports, and briefs to OASAS staff on data system development milestones. * Interface with cross-agency staff to define objectives and identify best practices. * Facilitate relationships with providers, community representatives, and other stakeholders contributing to data collection and database management. * Perform other related duties & responsibilities as assigned/requested. Minimum Qualifications: * A Bachelor's degree from an accredited college or university in a relevant social science and four years research, evaluation, or data management experience; OR * A Master's degree or J.D. from an accredited college or university in a relevant social science and a minimum of three years of research, evaluation, or data management experience; OR * A Ph.D. from an accredited college or university in a relevant social science and a minimum of two years of research, evaluation, or data management experience. * Two years of experience in organizing, managing, and analyzing quantitative data using descriptive statistics evidenced * One year of experience of supervising Preferred Qualifications: * Demonstrate experience conducting program evaluations from start to finish is required, including samples of final products/reports. * Expertise in the use of SAS, R or SQL. * Experience working in culturally diverse communities is an asset. * Experience in substance use epidemiology and substance use disorder treatment modalities is an asset. * Expertise in the use of Microsoft Excel, Word, and Power Point. * Able to calculate, interpret and communicate statistics from data systems and provide findings in a variety of formats to both technical and general audiences. * Able to understand, interpret, and critique empirical findings. * Able to learn more advanced data skills independently and as needed for data projects. Location: 1450 Western Avenue, Albany, NY 12203 To Apply: Submit an application through our website at *********************************** . Please note only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts. Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made. Qualifications Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc. Experience translating methods between areas of application is highly valued. LLM experience is valuable, but not necessary. Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience. The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company's retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations. Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office. Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you. Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

The Levy Economics Institute of Bard College seeks a Research Scholar to join the research program on Money and Financial Structure. The scholar will be expected to collaborate with other Levy researchers on ongoing research programs as well as teach one to two courses per year in the Levy Institute Master's in Economic Theory and Policy program. The main research area to which the scholar will contribute will be analyses of macroeconomic and financial instability. The scholar will primarily be responsible for studying and analyzing the evolution of financial institutions and current developments in financial markets, preferably with an eye to developments in AI and/or energy and climate finance. Researcher's methodology must be commensurate with the Levy Institute's pluralistic/heterodox approaches. About the Levy Economics Institute The Levy Economics Institute of Bard College, founded in 1986 through the generous support of Bard College trustee Leon Levy, is a nonprofit, nonpartisan, public policy research organization. The Levy Institute is independent of any political or other affiliation, and encourages diversity of opinion in the examination of economic policy issues while striving to transform ideological arguments into informed debate. * The successful candidate will have a PhD in economics (ABDs with dissertation defense plans will be considered). Industry analysts with long experience will also be considered. * A strong background in financial macroeconomics and familiarity with the work of Hyman Minsky is required. * Knowledge in the areas of financial innovation, climate finance, Fed-Treasury financial coordination, financial regulation, and central bank policy are highly desirable. To apply please submit a letter of application, CV, writing sample, and two letters of recommendation through Interfolio.com at: *********************************** Review of applications will begin immediately and continue until the position is filled. Compensation: $80,000 This salary reflects the College's good faith and reasonable estimate of the compensation for the position at the time of the job posting. Salary decisions are dependent on several factors including but not limited to market and organizational considerations, experience, and qualifications of a selected candidate as well as internal and external equity. Benefits Overview We are pleased to offer our full-time employees an excellent benefit package which includes: health insurance and wellness options,TIAA retirement plans, tuition benefits and vacation, sick, and personal time. To learn more about employee benefits and eligibility at Bard College, please visit **********************************************

Number of Vacancies: 1 Employment Status: Full Time, Temporary Pay Plan, Series & Grade: DS0058/301/8 Salary Range: $25.99 per hour ($54,075 annually) School of Engineering and Applied sciences (SEAS) at University of the District of Columbia (UDC) is currently in need of a responsible individual to fill the position of postdoctoral research associate for a federally funded research and education center. Our newly started Center of Nanotechnology Research and Education (CNRE) is seeking a postdoctoral scholar to assist in multiple center activities. CNRE provides opportunities to work in exciting and high impact research fields such as nanoscale electronics, spintronics, solar cells, and metamaterials. A successful candidate will be supervised by experienced and internationally renowned faculty advisors. The postdoctoral candidate may have an opportunity to work in collaboration with nearby National Institute of Standards and Technology (NIST) and other industrial partners and will have the ability to build their network for career advancement. This position is primarily a temporary/training position in which the incumbent plays a substantive role in planning and conducting research by using quantitative and qualitative methods to collect, analyze and report data activities. In collaboration with the Principal Investigator, this role will participate in the planning of independent research, will analyze and interpret data, will publish results, will represent the university at conferences and meetings, and may develop new theories and methodologies. This position may also help the Principal Investigator to lead and direct the work of lower level research staff. This role performs work under the supervision of experienced researchers. Essential Duties and Responsibilities * Conducts high quality research in the area of interest; * Works closely with graduate and undergraduate students and contribute to joint projects; * Participates with teaching and outreach activities and programs; * Presents and publishes research findings at conferences and peer reviewed publications; * Prepares progress reports for the funding sources; * Conducts research in the area of experimental molecular spintronics devices and nanoscale materials-based devices and sensors. These nanoscale devices and sensors will be investigated for fundamental understanding and applications in related areas. * Makes devices using micro nanofabrication tools such as photolithography and thin film depositions with sputtering machine. * Nanoscale characterization with a variety of tools, e.g. Atomic Force Microscope (AFM), SEM, electrical transport, and spectroscopy instruments. * Low temperature transport or low temperature materials and device characterization. * Magnetic property testing Minimum Job Requirements * Doctoral degree in the related field * Highly self-motivated and proactive, with exemplary problem-solving skills. * Demonstrated ability to work independently as well as with teams * Strong oral and written communication skills Information to Applicant Condition of Employment: This is a sponsored program appointment. The duration of this appointment is subject to grant fund availability. Collective Bargaining Unit (Non-Union): This position is not in the collective bargaining unit. Employment Benefits: Depending upon length of appointment, selectee may or may not be eligible for full benefits such as health and life insurance, annual (vacation) and sick leave and may not be eligible for the University of the District of Columbia's retirement plan (TIAA). Equal Opportunity Employer: The District of Columbia Government is an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, matriculation, physical handicap, or political affiliation. Notice of Non-Discrimination: In accordance with the D.C. Human Rights Act of 1977, as amended, D.C. Official Code, Section 2-1401.01 et. seq., (Act) the University of the District of Columbia does not discriminate on the basis of actual or perceived actual race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, family responsibilities, matriculation, political affiliation, marital status, personal appearance, genetic information, familial status, source of income, status as a victim of an intrafamily offense, place of residence or business, or status as a covered veteran, as provided for and to the extent required by District and Federal statutes and regulations. Sexual harassment is a form of sex discrimination which is also prohibited by the Act. In addition, harassment based on any of the above protected categories is prohibited by the Act. Discrimination in violation of the Act will not be tolerated. Violators will be subject to disciplinary action. Veterans Preference: Applicants claiming veteran's preference must submit official proof at the time of application. Visa Sponsorship: While at this time the University of the District of Columbia does not provide sponsorship for visas (e.g. H-1B), we encourage and will consider individuals in an eligible OPT. Drug-Free Workplace: Pursuant to the requirements of the Drug-Free Workplace Act of 1988, the individual selected to fill this position will, as a condition of employment, be required to notify his/her immediate supervisor, in writing, not later than five (5) days after conviction of any criminal drug statute occurring in the workplace. Background Investigation: Employment with the University of the District of Columbia is contingent upon a satisfactory background investigation. The determination of a "satisfactory background investigation" is made at the sole discretion of the University of the District of Columbia. The University may refuse to hire a finalist, rescind an offer of employment to a finalist or review and may terminate the employment of a current employee based on the results of a background investigation. Disposition of Resume: Resumes received outside the area of consideration and/or after the closing date will not be given consideration. You must resubmit your resume to receive consideration for any subsequent advertised position vacancies. For the purpose of employment, resumes are not considered job applications. Therefore, if selected for employment a UDC application will be required. Job Offers: Official Job Offers are made by the University of the District of Columbia, Office of Talent Management only. Contact Information: All inquiries related to employment and job applications should be directed to UDC Office of Talent Management at **************. The University of the District of Columbia is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. For a full version of the University's EO Policy Statement, please visit: ****************************************************** .

Applications to be submitted by January 13, 2026 Compensation Grade: P18 Compensation Details: Minimum: $66,442. 00 - Maximum: $66,442. 00 Annually Positions with a designated work location in New York City, Nassau, Rockland, Suffolk, or Westchester Counties will receive a $4,000 annual downstate adjustment (pro-rated for part-time positions). Department (OC) WADS - Wadsworth Center Job Description: Responsibilities Health Research, Inc. is seeking a Research Scientist I to support surveillance testing for the detection and characterization of circulating and emerging human pathogens of major public health concern, using wastewater collected from sites across New York State. This work utilizes state-of-the-art methodologies-including particle-assisted precipitation, ultracentrifugation, and advanced nucleic acid extraction techniques-to enable high-quality pathogen monitoring at scale. In this role, the Research Scientist I will perform cutting edge research and development within the laboratory, including technical method comparisons, equipment validation, and the creation and refinement of Quality Assurance systems. Wastewater testing is a rapidly growing field that has become central to the public health response to COVID-19 and other priority pathogens. As part of the largest state public health laboratory in the United States, the incumbent will contribute to the nation's largest state wastewater surveillance program. This dynamic, collaborative program includes investigators working across infectious disease and organic molecule testing. High-quality operation of this front-end laboratory is essential to the success of all downstream testing and program outcomes. This position will be part of a dynamic team serving the Wadsworth Center's mission in the New York State Department of Health's efforts to protect and promote the health of New York's citizens. Come be a part of Science in the Pursuit of Health! Minimum Qualifications Bachelor's degree in a related field and two years of research experience; OR a Master's degree in a related field and one year of research experience. Preferred Qualifications Master's degree in Biology, Molecular Biology, Microbiology, Public Health, or a related field. Proven experience with nucleic acid extraction and PCR and/or dPCR. Experience with wastewater surveillance. Experience with method validation and/or QA systems. Conditions of Employment Grant funded position. Compliance with funding requirements such as time and effort reporting, grant deliverables, and contract deliverables, is required. Visa sponsorship may be available for this position, in accordance with applicable federal requirements. The selected candidate must reside within a reasonable commuting distance of the official work location specified in the job posting and must also be located in or willing to relocate to one of the following states: New York, New Jersey, Connecticut, Vermont, or Massachusetts, prior to hire. Telecommuting will not be available. Exposure to potentially hazardous substances may be involved with this position. Therefore, the incumbent in this position may be required to wear personal protective clothing and equipment. HRI participates in the E-Verify Program. Affirmative Action/Equal Opportunity Employer/Qualified Individuals with Disabilities/Qualified Protected Veterans www. healthresearch. org About Health Research, Inc. Join us in our mission to make a difference in public health and advance scientific research! At Health Research, Inc. (HRI), your work will contribute to meaningful change and innovation in the communities we serve! At HRI, we are on a mission to transform the health and well-being of the people of New York State through innovative partnerships and cutting-edge public health initiatives. As a dynamic non-profit organization, HRI plays a crucial role in advancing the strategic goals of the New York State Department of Health (DOH), Roswell Park Comprehensive Cancer Center (RPCCC), and other health-related entities. HRI offers a robust, comprehensive benefits package to eligible employees, including: Health, dental and vision insurance - Several comprehensive health insurance plans to choose from; Flexible benefit accounts - Medical, dependent care, adoption assistance, parking and transit; Generous paid time off - Paid federal and state holidays, paid sick, vacation and personal leave; Tuition support - Assistance is available for individuals pursuing educational or training opportunities; Retirement Benefits - HRI is a participating employer in the New York State and Local Retirement System and offers optional enrollment in the New York State Deferred Compensation Plan. HRI provides a postretirement Health Benefits Plan for qualified retirees to use towards health insurance premiums and eligible medical expenses; Employee Assistance Program - Provides educational and wellness programs, training, and 24/7 confidential services to assist employees, both personally and professionally; And so much more! As the Executive Director of Health Research, Inc. (HRI), I would like to welcome you to HRI's career page. HRI's mission is to build a healthier future for New York State and beyond through the delivery of funding and program support to further public health and research programs in support of the New York State Department of Health, Roswell Park Comprehensive Cancer Center and other entities. This achievement is made possible through the recruitment of highly talented and qualified individuals. As an Equal Opportunity and Affirmative Action employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability, protected veteran status, or any other characteristic protected by law. HRI is committed to fostering an environment that encourages collaboration, innovation, and mutual respect and we strive to ensure every individual feels welcomed and appreciated. We invite you to explore and apply for any open positions that align with your interests. --- If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting HRI Human Resources at hrihr@healthresearch. org or **************.

Department/Unit: Neuroscience & Experimental Therapeutic Work Shift: Day (United States of America) Salary Range: $0.00 - $0.00The Myelin Lab at Albany Medical College, co-led by Drs. Sophie Belin and Yannick Poitelon, is seeking a Postdoctoral Research Fellow to join an NIH-funded project investigating how PMP2, a fatty-acid chaperone, regulates Schwann cell metabolism and the formation and maintenance of peripheral nerve myelin. The work integrates molecular biology, lipid analysis, imaging, and animal models to understand mechanisms underlying peripheral neuropathies. Albany Medical College offers a focused and highly collaborative biomedical research environment where postdocs work closely with an engaged and approachable faculty. Postdoctoral fellows also receive robust institutional support through programs such as the Postdoctoral Development Program, which enhances training, career development, and community building both within AMC and across the Capital Region. This support is paired with streamlined access to advanced imaging, histology, and bioinformatics cores, ensuring postdocs have the tools they need to excel. The Myelin Lab, jointly led by Dr. Yannick Poitelon and Dr. Sophie Belin, provides a supportive dual-PI mentoring environment with expertise in Schwann cell biology, myelination, nerve development, and regeneration. The lab emphasizes rigorous training, hands-on guidance, and scientific independence, supported by active NIH funding and a dynamic research portfolio. In addition to their main projects, postdocs benefit from opportunities for co-first authorships, strong publication potential, grant-writing support, and individualized career development. Situated in an affordable, livable, and well-connected region, AMC provides an ideal setting to launch a scientific career, combining high-quality mentorship, cutting-edge resources, and a supportive community. Key responsibilities Postdoctoral fellows in the Myelin Lab perform molecular and cell biology techniques, conduct imaging and quantitative analysis of myelin, and work with animal models. They analyze data, prepare figures, and contribute to manuscripts, while also presenting their research at local, national, and international conferences. Fellows participate in the preparation of grants to NIH and foundations under the supervision of Drs. Belin and Poitelon, collaborate closely with both PIs, and assist in mentoring students and research assistants. Required qualifications Candidates must have a PhD in Biology, Molecular Biology, Cell Biology, Biochemistry, Genetics, Physiology, Neuroscience, or a related field with a strong hands-on laboratory skills. They should be able to design experiments, interpret data, and communicate findings clearly. We are seeking candidates that can work both independently and collaboratively in a dynamic research environment. Strong preference will be given to applicants with: Experience with Schwann cells, myelin, or peripheral nerve biology. Background knowledge in lipid metabolism, fatty-acid trafficking, or cell metabolic assays. Experience with mouse models or neurobiology techniques. Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

SummaryJoin GE Aerospace Research and change the world! Our teams push the boundaries of Artificial Intelligence and Computer Vision to solve the hardest problems in aerospace-today and for the generations to come. We explore new frontiers in autonomy, perception, and learning to power safer, cleaner, and more capable aerospace systems. Our work spans the spectrum: advancing sustainable aviation, charting pathways for widespread beyond-atmosphere exploration, and strengthening national security with innovative, mission-ready technologies. As a Research Scientist - AI, you will: • Design experiments that probe the limits of what's possible in learning systems for real problems -and learn fast from the results • Build, analyze, and refine AI/CV algorithms inspired by both theory and data • Prototype novel systems that move from simulation to lab to flight-relevant environments • Translate fundamental discoveries into scalable tools used across design, manufacturing, testing, operations, reliability, and lifecycle management You'll collaborate with a diverse cohort of scientists and engineers across disciplines and GE Aerospace business units, tackling complex AI challenges from physics discovery to understandability, uncertainty management to edge environments. You'll also contribute to government-sponsored research with world-class partners in academia and federal agencies-work that shapes the field and accelerates the Future of Flight. Our work here emphasizes open-ended questions, rigorous experimentation, and building solutions that matter, looking out beyond what is done today. This role puts you at the edge of that discovery. Help define what AI and Computer Vision can do for aerospace-and expand the frontiers of human understanding along the way.Job Description Essential Responsibilities: Work within teams of researchers on new and continuing projects Develop software solutions for the application of Artificial Intelligence to aerospace programs, ultimately impacting the product and service offerings of GE Aerospace as well as its internal tools and practices Implement and analyze prototypes and solutions for real-world problems Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions Collaborate with GE Aerospace's other AI / CV experts to define and pursue strategic advancement of new technologies Publish novel findings in scientific workshops, conferences, and journals Create intellectual property by writing invention disclosures and filing patents Develop in technical and leadership skills in preparation for future work as a Lead Scientist Qualifications/Requirements: MS + 2 years experience in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer Vision Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems Candidate must be willing to travel a minimum of 2 weeks per year Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. You must submit your application for employment on the careers page at ******************************************* to be considered Ideal Candidate Characteristics: Ph.D. focusing on new advancements in Artificial Intelligence, Machine Learning, and/or Computer Vision Deep expertise in one or more of: Geometry in Computer Vision, CAD Registration, CT Imaging, Machine Learning + Physics, Explainable Machine Learning, Graph Neural Networks, Causal Inference Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DARPA, ARL, AFRL, and ONR Ability to obtain Secret (or higher) US Government clearance Post-doctoral or industrial experience inventing and developing new AI / CV technologies Extensive publications in peer-reviewed journals and conferences in Computer Vision, Artificial Intelligence, and/or relevant application fields Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact Willing to relocate to work out of an office located in Niskayuna, NY The base pay range for this position is 80,000 - 150,000 USD Annually. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary. This posting is expected to close on March 7, 2026 Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. #LI-MV1 This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. The Center for Cancer Care Innovation (CCCI) is seeking a highly motivated and skilled Postdoctoral Research Fellow to join our dynamic team. The successful candidate will engage in cutting-edge research aimed at advancing cancer care through innovative technologies and methodologies. The position offers an exciting opportunity to contribute to high-impact research projects and collaborate with leading experts in the field of oncology. The mission of CCCI is to build the evidence base by designing, testing, and implementing novel models of care that improve cancer care delivery. The center will serve as a hub to connect and train physicians, nurses, scientists, engineers, patients and families in care delivery science and pragmatic trials. Work performed by Center members is expected to result in care delivery innovations that improve quality of life, patient and family experience, costs and efficiency of care, and/or the work life of healthcare providers. Our group is highly collaborative, both within MSK and outside. The Center seeks to develop a diverse and multi-disciplinary team of students, postdocs and research technicians. Key areas of focus: Research Projects: Conduct independent and collaborative research on cancer care innovations, including but not limited to novel therapeutic strategies, diagnostic tools, and patient management systems. Data Analysis: Design and implement experiments, analyze complex data sets, and interpret results to advance the understanding of cancer treatment and care. Publication and Dissemination: Prepare manuscripts for publication in peer-reviewed journals, present research findings at conferences, and contribute to grant applications and proposals. Collaboration: Work closely with multidisciplinary teams including clinicians, engineers, and data scientists to integrate research findings into practical applications. Mentorship: Provide guidance and support to junior researchers and graduate students, fostering a collaborative and productive research environment. Innovation: Stay abreast of the latest developments in cancer research and contribute to the development and refinement of innovative approaches and technologies. The ideal candidate would have: An M.D. or Ph.D. in Public Health, Health Services Research, Social Sciences, or related fields Experience with or strong interest in mixed methods research, including the integration of quantitative and qualitative data Training in or an interest in learning cancer research Excellent oral and written communication skills Collaborative skills and the ability to work in a team Ability to perform self-directed and guided research A passion for advancing cancer care through research and innovation is essential PAY RANGE $72,000 - $87,000 Helpful links: MSK Compensation Philosophy Review Our Great Benefits Offerings Pay Range: $0.00 - $10,000,000.00FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

PDT, a quantitative investment manager, is hiring problem solvers who blend programming and applied research experience. Individuals in this role will devise, implement, evaluate, and iterate to create and improve statistical methods vetting them through direct application to enhancing our trading strategies. Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our deep bench of senior researchers and technologists. PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you'd see that we're a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. We love to work on challenging and complicated problems, that in return give a chance to make outsized, direct impact on our bottom line. For the right talent, there is fantastic growth potential. This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week. Why join us? PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world-measured by the quality of our products, not their size. PDT's very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse. Responsibilities: Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time Contribute to the long-term success of our research-driven algorithmic trading business Below is a list of skills and experiences we think are relevant. Even if you don't think you're a perfect match, we still encourage you to apply because we are committed to developing our people Solid mathematical and analytical ability; exceptional problem-solving and modeling ability Research intuition Experience in programming (Python, R, Matlab, C++) Excellent communication and collaborative white board skills Meticulous and detail-oriented, and innately driven to understand issues deeply Experience with/interested in working with large data sets Self-motivated and highly-productive, with a strong sense of ownership and urgency Able to work collaboratively and productively with others Enjoy solving complex, difficult, real-world problems Entrepreneurial and creative Finance knowledge is not required or expected PhD preferred Undergraduate or Masters degree with equivalent industry experience in machine learning 2+ years of applied machine learning research experience Strong publication record Experience with the Python scientific stack The salary range for this role is between $190,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors. PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT's privacy notices.

ABOUT CANVAS On our proprietary research team-Market Intelligence-you'll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research. Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts - our team produces impactful research that will change the way you look at the world. ROLE SUMMARY When you join the Canvas team, you're signing up for the learning experience of your life. You will never look at anything the same - from grocery stores to tires to semiconductors. Every day you will speak with some of the most successful private company executives and learn about the businesses they've spent their lives building. You will synthesize your findings in comprehensive reports that are consumed by our investment professionals. Other Market Intelligence divisions do quantitative research to explain what is going on in an industry. As a Fundamental Researcher, your qualitative research will explain the why. In this role you will: Become a subject matter expert on an assigned industry Learn from small, medium, and large private company executives about their businesses and the industries in which they operate, including gathering qualitative data on what is happening (e.g., structural shifts; real-time changes in supply/demand dynamics; and emerging competitors, markets, and technologies) and, importantly, why it is happening Synthesize your findings in comprehensive reports that present a view of the industry Gain unparalleled exposure to, and learn from, business leaders across industries, including private company executives and your colleagues Interact directly with our investment professionals and learn the discretionary investment process to help drive more informed investment decisions WHAT EXCITES YOU Staying current on the evolving alternative data market and its role in discretionary investing Speaking with experts both inside and outside the Firm to understand data needs and offerings Analytical thinking and sifting through available data to find “the answer” Fast-paced work environments that at times require switching gears to address the needs of the business Working as part of a cross-functional team made up of Investment, Research, and Compliance professionals WHAT EXCITES US Excellent attention to detail, organization, and project management skills Superb business intuition and a solution orientated, methodological approach to problem solving Ability to collaborate and build relationships across multiple business units within the Firm People who “elevate the room” through their work ethic, curiosity, and solution-orientated attitude Adherence to the highest ethical standards working closely with the Firm's Compliance team WHAT'S REQUIRED An undergraduate degree or advanced degree with demonstrated academic success Strong analytical skills Excellent written and verbal communication abilities An eagerness to find out if your conclusions are right or wrong An understanding of how companies work (their processes and outcomes) or an interest in learning Intellectual curiosity, creative thinking, maturity Highest standards of ethical decision making WHAT SUCCESS LOOKS LIKE Integrity - You demonstrate 100% commitment to the highest ethical standards Ownership - You take charge of your work, uphold your commitments, and always do your best Commerciality - You focus on what matters most, ask questions when needed, and are cognizant about not wasting your time or that of others Humility - You welcome and are receptive to feedback and learn from past mistakes Adaptability - You can triage business needs and context switch quickly and efficiently Admirability - You elevate the room through your work ethic, domain knowledge, work product, and solution orientated attitude WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully paid health care benefits Generous parental and family leave policies Mental and physical wellness programs Volunteer opportunities Non-profit matching gift program Support for employee-led affinity groups representing women, minorities and the LGBT+ community Tuition assistance A 401(k) savings program with an employer match and more About Point72 Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry's premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry's brightest talent. We're inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit ***************************** The annual base salary range for this role is $81,000-$100,000, which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. Ideally you'd have: Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes. A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.) At least three years of experience addressing sophisticated ML problems, either in a research setting or product development. Strong written and verbal communication skills and the ability to operate cross-functionally. Nice to have: Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax. Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents. Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc. Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$275,000-$350,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

How you move is why we're here. Now more than ever. Get back to what you need and love to do. The possibilities are endless... Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success. If this describes you then let's talk! HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment. Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise. Emp Status Regular Full time Work Shift Day (United States of America) Compensation Range The base pay scale for this position is $47,000.00 - $71,750.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future.What you will be doing JOB DESCRIPTION Exciting opportunities exist for a Research Assistant (RA) or Post-Baccalaureate Scholar position in Dr. Lionel Ivashkiv's research laboratory at the Hospital for Special Surgery and Weill Cornell Medical College. The RA or PostBac Scholar will participate in basic and translational research projects studying the pathogenesis of rheumatoid arthritis using cutting edge immunology and genomic techniques and preclinical models. We are interested in mechanisms of activation and training of innate immune cells and their bone marrow progenitors, understanding what causes flares of disease, and discovering new therapeutic targets. Please see ******************************************************************** and ************************************************** These positions provide opportunities to develop independent projects and obtain training and experience to prepare for graduate or medical school, present research at conferences, and write manuscripts. Positions are available beginning in July, 2025. Previous laboratory research experience is required and a two year commitment is preferred. YEARS OF EXPERIENCE REQUIRED 0-1 years previous laboratory research experience is required (recent college graduates can apply) and a two year commitment is preferred. YEARS OF EXPERIENCE PREFERRED - Bachelor's Degree in Molecular or Cell Biology, Immunology or related fields - Experience in relevant laboratory research. - Strong organizational and communication skills. - Self-motivated and able to work independently and as part of a team. PHYSICAL WORKING CONDITIONS Standard academic laboratory conditions involving molecular biology and cell culture experiments. ENVIRONMENTAL WORKING CONDITIONS Located in an indoor area with no exposure to mild physical discomfort from dust, fumes, temperature, and noise. Examples: patient care providers and laboratory technicians. HAZARDS OSHA Category 1 Tasks that involve exposure to blood, body fluids, tissues, and other potentially infectious materials. POSITION & UNIT ACCOUNTABILITIES Upholds Standards/Expectations of HSS Staff - Performs laboratory experiments under the supervision of a postdoctoral fellow Upholds Standards/Expectations of HSS Staff - Organizes and presents data to the Lab Director and at weekly lab meetings/ Upholds Standards/Expectations of HSS Staff - Carefully maintains a record of experiments performed and a laboratory notebook. Upholds Standards/Expectations of HSS Staff - Assists with laboratory chores such as ordering and stocking supplies. Maintains Documentation & Manages Information - Contributes to preparation of manuscripts. EDUCATION REQUIRED Bachelors EDUCATION PREFERRED Bachelors in Cell or Molecular Biology or Immunology CERTIFICATIONS/LICENSURE REQUIRED none CERTIFICATIONS/LICENSURE PREFERRED none SKILLS REQUIRED Basic cell and molecular biology lab techniques. SKILLS PREFERRED Knowledge of Immunology a plus. Non-Discrimination Policy Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.