Research and development engineer jobs in Schenectady, NY - 610 jobs

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. **Required Skills:** Research Engineer, Language - Generative AI Responsibilities: 1. Design methods, tools, and infrastructure to push forward the state of the art in large language models 2. Define research goals informed by practical engineering concerns 3. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results 4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) 5. Work with a large and globally distributed team 6. Contribute to publications and open-sourcing efforts **Minimum Qualifications:** Minimum Qualifications: 7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8. Research experience in machine learning, deep learning, and/or natural language processing 9. Experience with developing machine learning models at scale from inception to business impact 10. Programming experience in Python and hands-on experience with frameworks such as PyTorch 11. Exposure to architectural patterns of large scale software applications **Preferred Qualifications:** Preferred Qualifications: 12. A PhD in AI, computer science, data science, or related technical fields. 13. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 14. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 15. Direct experience in generative AI and LLM research. **Public Compensation:** $88.46/hour to $257,000/year + bonus + equity + 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@meta.com.

ABOUT US R&D Lab Technician Schenectady Permanent Full-time Von Roll Group is the global market leader for insulation products and the only company to offer the complete range of insulation products, composites, consulting, tests and services for the electrical industry. Von Roll USA Ltd. Inc. in Schenectady is part of Von Roll Group, active in the development and production of resins and varnishes, potting compounds, mica tapes, coated glass, flexible laminates and prepregs. This site serves its customers by supplying electrical insulation components for the design of reliable electric motors, traction drive systems, coils, generators, transformers and several ballistic applications. Here, we go with the future, and we improve constantly - especially with experts like you! As a R&D Lab Technician you will be responsible for working closely with our R&D group contributing to the development of research projects, manufacturing support and other various related activities. YOUR RESPONSIBILITY AND TASKS Prepare lab-scale samples via chemical synthesis. Collaborate with R&D chemist and engineers to optimize/analyze resin formulations. Perform chemical and physical tests to help manufacture and develop new polymer or other materials. Run standard polymer characterization tests and interpret the measurements. Interpret lab standards and follow procedures for processing and testing samples. Prepare test reports based on testing results and customer provided or development team requirements. Support lab activities including keeping the lab organized and up to cleanliness standards, maintain laboratory equipment and perform routine maintenance YOUR PROFILE Minimum Qualifications: Two-year OR Four-year degree, in physical science such as chemistry, physics, biology or science related field. Minimum of 1-2 years experience in testing processes, within a lab environment, or working with chemical manufacturing equipment Experience in an industrial R&D laboratory in the resin, paints or coatings field preferred but not required Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear. This position is very active and requires standing, walking, bending, kneeling, stooping, crouching, crawling and climbing all day. The employee must frequently lift and move items over 50 pounds. Work Environment: This position will operate in a professional office and a chemical lab environment. This role will require the use of standard and technical office programs as well as chemical and other volatile laboratory equipment and products While performing the duties of this job, the employee is frequently exposed to fumes or airborne particles, moving mechanical parts and vibration. The noise level in the work environment and job sites can be loud. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WE OFFER 401k Retirement Plan Dynamic environment Health Benefits International environment Medical, Dental and Vision Benefits Highly motivated team Salary range: $50,000-$60,000 CONTACT Your contact person is: Ms Christina Carnavale

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) The cross-disciplinary research leverages a convergence of expertise in materials, advanced manufacturing, and control systems, emphasizing synergistic integration of these fields to derive system-level solutions to complex technological challenges. The faculty's research interests encompass a broad spectrum of areas, including but not limited to energy materials, nanomaterials, nanocomposites, nanoscale heat transfer, thermoelectrics, nanomechanics, fiber-reinforced composites, additive manufacturing, nonlinear control systems, micromachining, spaceflight dynamics and control, tribology, nonlinear dynamics, nuclear materials, biomaterials, smart and adaptive materials, as well as computational approaches in nanomechanics and biomechanics. 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 Materials & Manufacturing include: Materials Discovery Materials Processing Advanced Manufacturing Robotics 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 *** 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 Title: Research and Development (R&D) Engineer IV Duration: 12+ Months Pay rate range: $70.00 - $77.74/hour As an Embedded Software Programmer, you will have the opportunity to architect and develop state-of-the-art embedded systems for real-time controls and communication applications in the energy industry. You will contribute to R&D programs aligned with businesses as well as with U.S. Government Agencies such as DOD, DARPA, DHS, and DOE. The technologies developed under these programs will be matured and transitioned into business products. Roles and Responsibilities: Work with businesses to help transition embedded controls and communication systems from early stage lab demonstrations to fieldable prototypes. Work with hardware suppliers and engineering tool providers to identify and select solutions for challenging industrial and defense applications. Advance the state-of-the-art in embedded computing in a collaborative and fun team environment. Required Qualifications: Bachelor's degree in Computer Science or related field. Strong embedded C/C++ skills. Coding experience with Bash, C#, Python, Matlab, etc. Familiarity with virtualization technologies such as hypervisors, Docker containers, etc. Strong interpersonal and analytical skills. Desired Characteristics: Master's degree in Computer Science or related field. Experience with Linux driver and kernel development. Working knowledge with Linux build systems (e.G., Yocto). Familiarity with cloud computing (e.G., AWS). Experience with CI/CD technologies like Jenkins and Git/github. Understanding of embedded system security and security techniques is a plus. Strong FPGA and SoC design experience using Verilog, SystemVerilog and VHDL Hands-on experience with Xilinx and/or Intel (Altera) FPGA devices, tools, and ecosystems (e.G., ModelSim, Intel Quartus, Xilinx Vivado) Solid understanding of digital logic design, including FSMs, pipelining, and resource optimization Experience with RTL simulation, synthesis, place-and-route, and timing closure Knowledge of clock domain crossing (CDC) techniques and metastability mitigation Familiarity with high-speed and standard interfaces (UART, SPI, I²C, Ethernet, PCIe, DDR) Experience developing testbenches and performing functional verification Proficiency with on-chip debugging tools (e.G., ILA, SignalTap) Ability to read and interpret schematics, timing diagrams, and hardware datasheets Experience using version control systems (Git preferred) Experience with high-level synthesis (HLS) tools and algorithm-to-hardware workflows, including Vitis HLS and integration with MathWorks MATLAB/Simulink for model-based design and verification

GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit *********** New College Graduates Overview: We offer many full-time employment paths for recent graduates, which provide accelerated training in a fast-paced work environment, cross-functional working opportunities, and talent mobility. New college graduates are provided with mentorship, networking, and leadership opportunities, which give our new team members life-long connections and skills. Summary of Role: We are seeking highly motivated employees with interest in semiconductor process and device development to work with our Product and Technology Development team in advancing world class differentiated semiconductor technologies for our 300mm manufacturing fabricator in Malta, NY. New hires will immediately embed within our project teams of process, integration, and device engineers in developing new process flows and devices in differentiated fin FET, 22FDX as well as advanced packaging solutions such as 2.5D, 3DHI technologies, targeting new market applications. Essential Responsibilities include: This position offers the unique opportunity to develop innovative advanced packaging technologies as a Process Integration Engineer and deliver performance and reliability demonstration across technology development qualification milestones from conception through manufacturing installation Initial and primary responsibilities include development of integrated process flows and devices structures that meet performance, reliability, yield, and cost objectives for our customers. Collaborate with various engineering teams outside of the technology development team, such as testing, failure analysis, unit module process, reliability, manufacturing, modeling and TCAD simulation, to facilitate and achieve program success. Other Responsibilities: Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs. Required Qualifications: Education - Graduating with Bachelor's or Master's, in Electrical Engineering, Solid State Physics, Microelectronics, Chemical Engineering, Material Science or related field from an accredited degree program. Must have at least an overall 3.0 GPA and proven good academic standing. Language Fluency - English (Written & Verbal) Preferred Qualifications: Prior related internship or co-op experience. Demonstrated prior leadership experience in the workplace, school projects, competitions, etc. Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity. Strong written and verbal communication skills Strong planning & organizational skills #NCGProgramUS Expected Salary Range $54,200.00 - $110,300.00 The exact Salary will be determined based on qualifications, experience and location. If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations. GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory. All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

**_What Application Development & Maintenance contributes to Cardinal Health_** Information Technology oversees the effective development, delivery, and operation of computing and information services. This function anticipates, plans, and delivers Information Technology solutions and strategies that enable operations and drive business value. Application Development & Maintenance performs configuration or coding to develop, enhance and sustain the organization's software systems in a cross-functional team environment through adherence to established design control processes and good engineering practices. This job family programs and configures end user applications, systems, databases and websites to achieve the organization's internal needs and externally-facing business needs. Application Development & Maintenance partners with business leaders, investigates user needs and conducts regular assessments, maintenance and enhancements of existing applications. We are seeking a highly skilled Engineer, ServiceNow Platform Developer responsible for designing, developing, and implementing ServiceNow solutions that align with business requirements. In this role you will design and implement scalable, secure, high-performing ServiceNow solutions and optimize ServiceNow capabilities to support IT Service Management (ITSM), and various other modules. **_Responsibilities_** + Design, develop, and implement applications and integrations on the ServiceNow platform to meet business requirements + Develop and implement integrations between ServiceNow and other enterprise systems using API's and other integration tools. + Design automated processes using tools like Flow Designer, Workflow Editor, ServiceNow Studio and Integration Hub. + Perform unit testing, UAT, and manage code movement (update sets) to production + Execute software installations, creation, configuration, and loads + Create and maintain release notes, user guide, and knowledge base documentation. + Participate in platform communities and stay up to date on new software technologies and best practices + Promote ServiceNow best practices and recommend out of the box solutions where appropriate. + Support and guide Citizen Developers in using App Engine Studio and low-code/no-code tools, ensuring compliance with governance policies. + Recommends process improvements and displays a continuous improvement mindset + Troubleshoot issues, provide ongoing support, and implement system enhancements. + Document technical designs, configurations, and development processes for knowledge sharing and compliance. **_Qualifications_** + Bachelor's degree in related field, or equivalent work experience, preferred. Advance Degree, preferred. + 4-8 years of experience, preferred + 4+ years of hands-on experience in developing enterprise software and solutions + ITIL v4, CSA, CSD or CIS Service Now Certifications is a plus + Experience with integration components such as SSO, LDAP + Experience with web technologies such as AJAX, XML, CSS, HTML, JavaScript, Web Services (SOAP, REST) + Experience with databases and data-driven web applications + Experience in the System Development Life Cycle (SDLC) processes including client requirement analysis and system design, and/or software engineering principles + Understanding of Incident Management, Change Management, Configuration Management, and Release Management as it relates to ITIL + Experience with a scripting language, such as PowerShell, Perl or Python, preferred + Experience with GCP, AWS, or Azure Cloud Infrastructure, preferred + Hands-on experience with UI Builder for creating modern, responsive user interfaces + Experience in building and customizing Workspaces and Next Experience Workspaces + Familiarity with ServiceNow App Engine Studio and low-code/no-code development + Experience with ServiceNow AI Control Tower is a plus **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $94,900-$135,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 03/14/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-SP1 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

SummaryAt Aerospace Research we play a vital role in supporting the industry through a historic recovery while shaping the future of flight. We invent the future of flight, lift people up and bring them home safely. Our commitment to lead the industry, to keep safe the flying public and the armed forces, and to lift up one another and our communities, remains our north star. Our purpose is what ties us to one another and gives meaning to our work. The Research Engineer role in the Material Mechanics and Durability organization is responsible for developing the understanding of novel materials and material systems. As a Research engineer you will conduct and co-ordinate experiments to probe fundamental behavior of materials. You will participate in development of state-of-the-art life prediction methods for fatigue, creep and fracture of advanced material systems. You will also support critical field issues through analysis and testing.Job Description Role Summary/Purpose: At Aerospace Research we play a vital role in supporting the industry through a historic recovery while shaping the future of flight. We invent the future of flight, lift people up and bring them home safely. Our commitment to lead the industry, to keep safe the flying public and the armed forces, and to lift up one another and our communities, remains our north star. Our purpose is what ties us to one another and gives meaning to our work. The Research Engineer role in the Material Mechanics and Durability organization is responsible for developing the understanding of novel materials and material systems. As a Research engineer you will conduct and co-ordinate experiments to probe fundamental behavior of materials. You will participate in development of state-of-the-art life prediction methods for fatigue, creep and fracture of advanced material systems. You will also support critical field issues through analysis and testing. Responsibilities: Perform mechanical testing of aerospace materials ( including ceramic matrix composite, nickel based superalloys, ceramic coatings, polymer matrix composite and others) Familiarity with high temperature experimental techniques, data acquisition systems, digital image correlation, acoustic emission technique, Infrared camera thermal measurements etc. Strong analytical skills. Work with the internal customers to develop test plans, execute testing and maintain clear communication with customers during the process. Prepare clear presentations and guide the team on explaining outliers/debugging issues/refining plans Collaborate with Aerospace Research colleagues to identify and resolve technical challenges for high temperature testing of materials and constitutive modeling Collaborate across aerospace design communities in the development of component models, stress analysis and lifing methods Ceramic Matrix Composites, barrier coatings and superalloys. Develop and own technology roadmaps for various focus areas in computational and experimental mechanics. Participate in responding to government grants Required Qualifications PhD in degree in mechanical engineering or a closely related discipline or Master's Degree with 3 years of relevant experience is required. 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. Must be willing to work out of an office/lab located in Niskayuna, NY. Desired Qualifications In-depth knowledge of MTS and Instron test systems. Relevant experience in experimental test techniques (Nickel based superalloys and CMC materials). Domain knowledge in gas turbine design and gas turbine lifing technologies. Experience with ANSYS APDL and CAD/Meshing packages (UniGraphics, Pro-Engineer, Hypermesh etc.). Excellent written and verbal communication skills. Excellent interpersonal skills. 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 1, 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

As 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 boost energy dominance of the United States. 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, distributed, and secure energy. The Electrical Systems team at GE Vernova Advanced Research is seeking candidates interested in the research and development of advanced gas and physical sensor systems and their integration into industrial and consumer products. As a Research Engineer, you will work closely with a highly experienced, multidisciplinary team to advance sensing technologies for a broad range of customers. The primary focus of this role is the design, development, and testing of sensor subsystems, including (i) transducers, (ii) multi‑output signal interrogators, and (iii) multivariate data analytics. These subsystems will be integrated into next‑generation gas and physical sensor systems to enable new and enhanced performance capabilities across diverse applications. **Job Description** **Roles and Responsibilities** The Research Engineer - Sensor Systems and Multivariate Data Analytics will develop advanced sensor system technologies spanning transducers, signal interrogation, and multivariate data analytics. The role bridges fundamental research and applied system development to deliver low Size, Weight, and Power (SWaP) sensing solutions for diverse industrial and governmental applications. + Lead the design and development of innovative sensor systems, including transducers, signal interrogation architectures, and data analytics for gas and physical sensing applications, with an emphasis on low SWaP solutions. + Contribute across the full sensor system research and development lifecycle, including fundamental innovation, requirements definition, project planning, specifications, system design, experimental validation, and interpretation of results. + Plan, execute, and analyze critical experiments to validate sensor system concepts, and communicate technical findings and project status to senior management and key stakeholders. + Collaborate with multidisciplinary internal teams and external industrial, academic, and government partners to develop system‑level sensing solutions. + Engage directly with customers to understand application needs, develop tailored sensor system solutions, and identify future technology and business opportunities. + Develop and present research plans and proposals for internal programs and external funding agencies; disseminate research outcomes through conferences, peer‑reviewed publications, and technical networks. **Required Qualifications** + PhD degree in a relevant Science or Engineering discipline + Demonstrated experience designing and testing gas or/and physical sensor structures and devices and the ability to design key sensing components such as transducers and to combine them with needed sensing materials and signal interrogators or to apply direct spectroscopic measurements + Demonstrated experience in data analytics - univariate and multivariate - for sensor applications + Legal authorization to work in the U.S. is required + 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** + Demonstrated design of sensors based on different transduction principles such as electrical, optical, mechanical, thermal + Demonstrated design of wired and/or wireless sensors + Demonstrated understanding of synergism between sensor design and associated data analytics (machine learning) of sensor outputs + Familiarization of manufacturing principles of designed sensor systems + Demonstrated ability to work in sensors laboratories and conduct critical experiments + Demonstrated ability to develop experimental methods for testing sensor system components and whole system + Demonstrated ability to work as part of an interdisciplinary team + Excellent presentation, speaking, organizational, and problem-solving skills, with attention to detail 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 16, 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. 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.

Advance Testing Company, Inc. is currently seeking a full-time Construction Materials Technician to work on projects in the Northeastern United States. Advance Testing, an established New York-based construction materials testing and inspection firm, has opportunities available for individuals to perform testing and inspection of construction materials such as soils, aggregates, concrete, masonry and asphalt. Typical assignments include projects related to construction of roads, bridges, airports, tunnels, commercial and industrial buildings, schools, government and military sites, and material fabrication and production facilities. Successful candidates will be trained and certified to perform sampling and testing of soil, concrete, and asphalt materials on construction sites and in a laboratory setting through locally and nationally recognized programs. Once trained and certified, employees are considered full-fledged Construction Materials Technicians. Construction Materials Technician - RESPONSIBLITIES Observe work in progress to ensure that procedures and materials used conform to approved drawings and specifications. Perform standard testing of materials. Prepare samples of materials for laboratory testing. Examine workmanship of installations for conformity to specifications. Maintain daily log of construction and inspection activities and complete clear, accurate reports daily. Prepare sketches of construction installations that correlate with testing and inspection sites. Other related duties may be assigned. Construction Materials Technician - QUALIFICATIONS High school diploma or equivalent AS Degree in Civil Engineering Technology, Construction Management, Construction Technology, or similar, OR completed coursework toward a BS Degree in Civil Engineering or similar; Experience with construction materials testing and/or construction industry preferred (will be trained) Strong focus on safe work practices and adherence to all safety protocols Must be detail oriented and able to work independently Must be able to travel and to perform site visits Requires a valid, clean driver's license Applicants may be required to obtain any security clearances and background confirmation for sensitive projects and locations. Construction Materials Technician - COMPETITIVE SALARY AND BENEFITS PACKAGE In addition to providing competitive salaries, Advance Testing Company, Inc. offers a wide range of benefit options, including: Overtime offered at time and a half Comprehensive group medical insurance, including health, prescription, dental, vision Flexible spending accounts for medical expenses and dependent care Company paid offset to out of pocket health insurance and prescription costs Opportunities for professional growth and advancement Paid time off and sick days Company-observed paid holidays Paid training and certification AFLAC Plans including short and long-term disability coverage, life insurance, et al. 401(k) Retirement Savings Plan Salary Range $18-22 per hour Requirements All positions may require lifting and/or physical activities, including lifting of up to 75 lbs., walking/working on uneven surfaces, and driving to and from job sites. The majority of our work is conducted outdoors, in all weather conditions. Work hours vary, but include day, night and weekend shifts. Salary Description $18 - 22 per hour

As a Lead Cybersecurity Engineer - Embedded Systems, you will be responsible for the transition of breakthrough cybersecurity technologies from lab concepts to fieldable prototypes that protect critical industrial and defense systems. You'll collaborate across businesses, suppliers, universities, and industrial partners; lead technical work scopes and small-to-medium R&D projects; and contribute to the broader community through publications, patents, and open-source engagement. Roles and Responsibilities: - Work with businesses to develop and transition cybersecurity technologies for embedded systems from early-stage lab demonstrations to fieldable prototypes. - Work with hardware suppliers and engineering tool providers to identify the best solutions for the most challenging industrial and defense applications. - Collaborate with universities, industrial consortiums, commercial partners, and others to advance the state of the art in OT cybersecurity for embedded systems. - Lead and manage small- to medium-sized R&D projects or tasks. - Publish technical papers, file patents, and contribute to open-source communities. - Assist with the development of new business opportunities by contributing to or leading external proposals. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements Required Qualifications: - Ph.D. in Computer Science, Electrical Engineering, or related disciplines OR master's degree in computer science, Electrical Engineering, or related disciplines with a minimum of 3 years of industry experience OR bachelor's degree in computer science, Electrical Engineering, or related disciplines with a minimum of 5 years of industry experience. - Strong background in software development for embedded systems such as: computer architecture, Linux OS, network protocols - Strong embedded programming skills such as: C/C++, Python, Bash/Shell - Experience with Linux security and Linux driver development. - Experience with Industrial protocols such as Modbus/TCP, Modbus RTU, DNP3, EtherNet/IP, PROFINET, OPC UA/DA, BACnet, IEC 60870-5-104, IEC 61850, MQTT, CAN/CANopen - Experience with ICS/SCADA architectures such as PLCs/RTUs/HMIs, Historians, Fieldbus, edge gateways, DMZ patterns - Experience with OT network design such as Purdue Model, segmentation, VLANs, firewalls, zero-trust in OT - Experience with OT security standards and practices such as IEC 62443, NERC CIP, NIST 800-82, SBOM, secure firmware updates - Experience with Monitoring and remote access such as Passive asset discovery, protocol-aware IDS, secure vendor access, MFA in OT environment - Experience with Deterministic networking and timing concepts such as QoS, PTP, TSN considerations in safety-critical systems - Experience with device hardening including pen testing - Experience with hardware-based security (e.g., HSM, TPM, ARM TrustZone, Secure Boot, etc.). - Working knowledge of cryptographic algorithms, protocols, or standards (e.g., TLS, X.509). - Experience with embedded development in an RTOS environment (e.g., QNX, VxWorks, etc.). - Experience with embedded Linux (e.g., Yocto) and firmware development.

Purpose: Provide support to the E/One Operations Department through the management and execution of manufacturing projects. Apply principles learned in school as well as on the job training to solve manufacturing challenges. This would be a 6 month Co-Op term starting in July 2026 through December 2026. Core Responsibilities: Manage component and continuous improvement projects for one of E/One's Operations Team. Projects are designed and documented in CAD, verified with hands-on prototyping and testing, and implemented in a high-pace production environment throughout the co-op's term. Support ongoing manufacturing efforts with documentation updates and finalization within E/One's ISO Processes. Work in a fast-paced team environment to identify, execute, and lead various projects simultaneously. Facilitate efficient business processes by supporting multiple departments through ERP System Management. Participate in Lean Manufacturing initiatives while preserving E/One's commitment to product quality. Other duties as assigned. Qualifications & Requirements: Pursuing a Bachelor's Degree in Mechanical Engineering, Industrial Engineering or similar. Previous CAD experience required.

Greno Industries has a great opportunity for an individual near the beginning of their manufacturing career who wants to expand their skills, and tailor their duties to their strengths and interests. Beyond manufacturing engineering, the incumbent will have the occasion to explore challenges in the management of quality, production, business, and people. Our ideal Manufacturing Engineer: Has a sincere interest in a career in the manufacturing industry Is committed to professional development Dedicates themself to the pursuit of quality and continuous improvement Can Interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables Communicates effectively Works well in a team environment Understands the principles of process management Grasps current manufacturing technologies and abilities Key Responsibilities: As Greno Industries' Manufacturing Engineering, there are core duties we expect the incumbent to perform once they are fully trained and have matured into their position. These are: Analyze manufacturing processes and design specific and detailed improvement plans Maximize efficiency by analyzing layout of equipment, workflow, assembly methods and work force utilization Determine parts and tools needed to achieve manufacturing goals Ensure a stronger and more knowledgeable workforce through training and expert guidance Assist with RFQ reviews on complex opportunities and give input on methods Support sales staff with technical assistance and contribute to the expansion and diversity of our customer base Conduct profitability analyses Keep current on new technologies and make recommendations for implementation Benefits: Choice of 6 health plans to suit every need and budget Dental and vision insurance Life insurance Supplemental insurance Profit Sharing 10 days of paid time off the first year Holiday Pay Why Greno Greno Industries stands out because of our commitment to quality and our ability to endure, change, and thrive through the years. Founded in 1961, the business has evolved from an industrial supply company to the AS9100 certified manufacturer of precision metal parts we are today. Our values are: Innovation - we encourage ideas to advance the business and do things better Continuous Improvement - in the business, our production, and the skills of our employees Stewardship - protection of the proprietary information of our customers, and the personal information of our employees Quality - providing the best possible products to our customers Integrity - ensuring our processes, products, and business practices meet ethical standards Respect - for the dignity and abilities of our employees and appreciation for their diversity Customer Commitment - keeping the customer in mind in all things we do Workforce Development - work with community organizations and business associations to promote manufacturing as a career We encourage candidates with disabilities to apply and will make reasonable accommodation to remove any barriers to the interview. It is the policy of Greno Industries, Inc. to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, gender, sexual orientation, marital or parental status, national origin, age, disability, veteran standing, or any legally protected status. Disclaimer: Greno Industries, Inc. does not accept unsolicited assistance from search firms / employment agencies / third-party recruiters for any of its employment opportunities. Please, no phone calls or emails to any employee of Greno Industries, Inc. about this opening. All resumes submitted by search firms / employment agencies / third-party recruiters to any employee at Greno Industries, Inc. via-email, the Internet or in any form and/or method without a valid written search firm agreement in place for this position will be deemed the sole property of Greno Industries, Inc.; no fee will be paid in the event a candidate is hired by Greno Industries, Inc. as a result of the unsolicited referral or through other means.

📍 Near Bennington, Vermont 💰 Salary: $70,000 - $75,000 Our well established client is seeking an experienced Manufacturing Engineer to support and improve production operations. This role is ideal for a detail-oriented engineer with strong manufacturing knowledge, hands-on experience, and the ability to lead process improvements while working efficiently within budget and schedule constraints. Position Overview: The Manufacturing Engineer is responsible for developing, improving, and maintaining manufacturing processes to ensure quality, efficiency, and cost-effective production. This position works closely with production teams, vendors, and leadership to support both day-to-day operations and longer-term process improvements. Key Responsibilities: Develop and refine manufacturing processes based on product requirements and production needs Research, design, test, and implement manufacturing methods, tooling, and equipment Analyze workflows, floor layout, and equipment utilization to improve efficiency Establish and maintain product and process quality standards, including testing and validation methods Analyze production, labor, and material costs to support manufacturing decisions Prepare reports by collecting and analyzing production data and performance trends Provide technical guidance and manufacturing support to production teams Coordinate equipment maintenance and repair activities to ensure reliable operation Participate in design reviews and support project development Train and mentor technicians as needed Support continuous improvement initiatives and cross-functional collaboration Qualifications & Requirements: Minimum of 5 years of manufacturing experience Strong experience using SOLIDWORKS Solid understanding of welding, metal forming, and machining operations Knowledge of industrial paints and coatings Bachelor's degree in Manufacturing, Mechanical Engineering, or a related field preferred Strong analytical, problem-solving, and organizational skills Ability to work effectively in a fast-paced, hands-on manufacturing environment To see a full listing of all our open positions, please visit: ****************************************************** red Shift Recruiting is the region's premier recruiting agency with over 100 years of combined experience in the recruiting field. We specialize in permanent, temporary, and temp-to-hire positions. Our superior service combined with our highly qualified and carefully selected bank of candidates sets us apart.

Since its inception in 2014, Roivant Sciences has sought to improve health by rapidly delivering innovative medicines and technologies to patients. We've employed a unique, decentralized model of nimble, focused companies ('Vants') focused on various therapeutic areas and built around the pursuit of innovation in drug development and technology. Our model is different. Five new medicines have been approved off the Roivant platform; we've built five biotechs that have become public; we've created well over $1b in value in Roivant Health in just six years. Our successes have ranged from computational drug discovery to tokenized healthcare data exchange, and from novel topicals for dermatological conditions to ultrarare tissue therapies. Roivant Health is Roivant's platform for the creation of new technology Vants, focused on delivering improvements to human health outside of our traditional biotech platform. In six years since inception, we've created eight enduring companies and over $1B in enterprise value, including the leading deidentified healthcare data exchange platform (Datavant) and a top-tier computational drug discovery company (VantAI) which has partnered with Johnson & Johnson, Bristol-Myers Squibb, and Boehringer Ingelheim. Our goal is to improve human health by rapidly discovering, developing and delivering innovative medicines and technologies to all patients. Our success is predicated on attracting and retaining top talent, generating new ideas and promoting an open and collaborative culture. We embrace diversity across all dimensions and levels of the organization, and we strive to ensure every employee is supported in reaching their full potential. We hire motivated people with diverse backgrounds, identities, experiences and skillsets. We are committed to fostering an inclusive culture where all employees feel valued, respected and empowered to create value for patients. Summary: Roivant is seeking a Founding Engineer to work on the core technology underpinning new healthcare and life sciences companies. You'll partner with business, operational, product, and/or clinical leaders to rapidly de-risk, prototype and productize new software, working at the intersection of AI, data engineering, and real-world biomedical data. This is a hands-on, highly entrepreneurial role ideal for a talented software engineer who wants to build groundbreaking health AI products. Responsibilities: * Contribute to technical strategy for new company formation, including scoping early technical feasibility, identifying data and infrastructure needs, and building initial proof-of-concept systems * Design, build, and iterate on tooling, infrastructure, and workflows to run AI/ML training and inference workloads at scale across varied health × AI applications * Develop and refine data and model pipelines that integrate multimodal health data (e.g., clinical text, omics, imaging, sensor data, etc.) for downstream AI/ML tasks * Collaborate closely with domain experts and business stakeholders to incorporate client and commercial insights into model design and deployment Qualifications: * Experience building and deploying ML or AI systems in production * Strong Python engineering skills with experience in building scalable, testable codebases * Comfort working in fast-paced, high-ambiguity environments where requirements evolve We are deep believers in rapid career advancement for high performers and take a flexible approach to role design, adjusting responsibilities based on individual strengths. The ideal candidate is ambitious, entrepreneurial, and comfortable with ambiguity, driven by a passion for building transformational healthcare technology. We seek individuals who embrace calculated risk-taking as essential to achieving meaningful outcomes for patients. Base salary for this role will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market conditions. The expected base salary for the role will generally be between $130,000 to $180,000 per year at the commencement of employment, but the final salary offered may be outside this range based on individual circumstances and business and market conditions. Base salary if hired is only part of the total compensation package, which, depending on the position, may also include other components such as discretionary bonuses, equity, and Company-sponsored benefit programs. This position is at-will and Roivant reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance and business and market conditions. Roivant Sciences provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems. Responsibilities Partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems. Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments. Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools. Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure. Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments. Strong understanding of frontier model evaluation methodologies and the current research landscape. Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow). Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Published research in leading ML or AI conferences such as NeurIPS, ICML, ICLR, or KDD. Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems for complex models. Experience collaborating with operations or external teams to define high-quality human annotator guidelines. Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis. Experience contributing to scalable pipelines that automate the evaluation and monitoring of large-scale models and agents. Familiarity with distributed computing frameworks and modern cloud infrastructure. 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:$179,400-$224,250 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.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world's most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field. We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies. Research Engineers at HRT work on a wide variety of projects. Examples include: Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals. Building world-class research tooling to speed up Algo Developers' research iteration. Aiding the development and deployment of very large deep learning models for HRT's live trading. Improving HRT's monetization systems which turn our predictions into profitable trades. Evaluating sim vs. live differences to improve the fidelity of our simulations. Building systems to monitor and manage live trading. Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies. Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) - you'll interact with markets across the world! Responsibilities Design, develop, and maintain robust, performant, and scalable software systems. Optimize existing codebases for performance, reliability, and efficiency. Debug complex issues across distributed systems in a time-sensitive environment. Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies. Balance the short term goals of individual trading teams with the longer term goals of HRT's generalized trading platforms across trading teams. Because we don't work in a pod environment, REs on different trading teams are expected to share technology and ideas. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Challenging classes, programs, and projects are preferred. Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews. Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms. Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.) Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process. Kindness and empathy is a real requirement. No “smart jerks” at HRT. Strong understanding of data structures, algorithms, and design principles. Excellent communication skills, both written and verbal. HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. If you have management experience, that's always a bonus - but even so, expect to code! 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. For more info about interviewing at HRT, see this blog! 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.

About Us Edgestream Partners is a tight-knit team of scientists, engineers, and business professionals who devote our talents to developing quantitative models of financial markets and using them to trade systematically around the world and around the clock. Edgestream's culture has more in common with research laboratories and technology startups than with traditional finance. We prize curiosity, creativity, diligence, and intellectual honesty. We focus on the long term, working together to build elegant and general systems that endure and scale as we grow. And we incentivize our employees to cooperate and share ideas, because we know that compounding our efforts magnifies our achievements. The result is a company where smart, dedicated effort can have a major impact. We've been in the hedge fund business since 2003, and we're still growing. We're looking for talented and driven people who can grow with us in the years ahead. About the Job The Research group at Edgestream consists of highly skilled scientists and engineers, working in collaboration to unravel some of finance's hardest problems. Within this group, our Research Engineers have primary responsibility for the quantitative software platform which underpins our scientific endeavors. Together, we build novel machine learning tools, do cutting edge research in computation, and run large scale scientific experiments with market data. This role is a mixed one, well-suited to someone who is equally passionate about software development and scientific research. A successful candidate would care about writing elegant code, take satisfaction in building world class infrastructure, and enjoy using these skills to crack hard scientific problems. This position will be located in either Princeton, NJ or New York, NY. Qualifications: A Computer Science, Mathematics or Physical Sciences degree, preferably a Ph.D. A track record of writing correct and efficient code for mathematical systems. Comfort with Unix. Fluency in various languages and tools, e.g. Python, C, NumPy, Cython, SQL, Git Able to balance longer-term objectives with immediate needs. Works well with others and independently. Some of the benefits of working at Edgestream: Competitive salary, bonus, and incentive compensation based on overall company performance. Fantastic resources, accumulated over decades, for turning ideas into reality. Comprehensive, first-class benefits (including excellent medical and dental insurance, 401(k), HRA, FSA, life insurance, catered lunch, and an onsite gym). For qualified employees, the opportunity to invest in our funds. To apply, please complete the fields below and attach your resume or CV. Contact Info For questions, please contact ************************. Legal disclaimer: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

We are seeking a Staff Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.Choice in participation: We recognize there's a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release! **************************************************************************************** You'll Do Close Collaboration: Work side-by-side with research scientists to conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing. Improve model training pipelines. You'll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments. Optimize performance. You'll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive. Integrate models into production environments. You'll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify's users. Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes. Maintain a high-quality codebase. You'll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team. Enhance researcher experience. You'll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team. Who You Are You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks. You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure. You understand how to debug problems in machine learning training code. You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents. You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency). You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI. You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration. You're not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus. You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like. You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies. Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location. This team operates within the Eastern Standard time zone for collaboration. Core working hours are CET 3pm-6pm / EST 9am-12pm. The United States base range for this position is $215,136 - $307,337 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

Are you an engineering leader who thrives on architecting game-changing software from the ground up? Do you enjoy empowering teams to push technical boundaries and deliver high-impact solutions in a collaborative, fast-paced environment? Are you excited to leverage your deep trading systems experience to shape the future of financial technology? If so, we invite you to be a part of our innovative team. As a Staff Engineer on the Trading team at Ridgeline, you will provide hands-on technical leadership and design expertise to create and scale our Trade Order Management solution. You'll guide cross-functional teams to deliver complex, high-performance applications using modern cloud-native architectures. With access to cutting-edge technologies-including AI tools like Cursor, GitHub Copilot, and ChatGPT-you'll help define and deliver an industry-defining platform that transforms how investment management firms operate. Your vision, mentorship, and ability to connect the dots across systems will make a meaningful impact on our team and customers alike. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions-not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If this excites you, we'd love to meet you. You must be work authorized in the United States without the need for employer sponsorship. The impact you will have: Design scalable, cloud-native applications using AWS and modern backend services to power mission-critical trading workflows Architect systems that are secure, performant, and maintainable while aligning with Ridgeline's long-term product vision Lead by example in engineering best practices, including design reviews, testing strategy, and CI/CD adoption Guide and mentor teams of engineers across disciplines, fostering a culture of ownership, continuous learning, and technical excellence Partner closely with product, design, and QA to deliver features that delight customers and meet real-world trading needs Contribute to a collaborative environment rooted in transparency, feedback, and shared responsibility Leverage AI tools like Copilot and ChatGPT to streamline development, improve code quality, and boost team productivity Actively participate in strategic technical decisions, roadmap planning, and evolving the team's architecture and tooling What we look for: 7+ years of software engineering experience, including leading large-scale system design and implementation Strong programming experience in Java or Kotlin (preferred), with an emphasis on backend systems Deep understanding of object-oriented design principles, design patterns, and test-driven development Experience with cloud platforms, ideally AWS, and modern development practices like infrastructure as code and CI/CD pipelines Familiarity with modern front-end technologies (e.g., React, TypeScript) and willingness to contribute to full-stack solutions Ability to think strategically, own complex problems, and balance short-term goals with long-term architecture Strong communication skills and the ability to influence technical direction across teams Serious interest in having fun at work Bonus: Experience building or scaling buy-side order management systems Familiarity with FIX and/or SWIFT protocols Background in financial instruments or mathematics Exposure to performance-sensitive or real-time distributed systems About Ridgeline Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk. Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, and the Bay Area, and is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below. The typical starting salary range for this role is: $174,500-$205,000. The typical starting salary range for this role in the select locations listed above is: $185,000-$220,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you'll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits. #LI-Hybrid #LI-Onsite