Postdoctoral scholar jobs in Clifton, NJ

Onsite in 909 River Road Piscataway, NJ 08854 Monday - Friday, 8am - 4pm (with some flexibility) Reason for request: Lab development, stability, data integration/analysis work JOB DESCRIPTION: Perform appropriate Lab practices and procedures for making product formulation and testing of products. Follow product stability protocols. Maintain, monitor, validate and calibrate lab equipment, as necessary. Prepare reports, collect data analysis, and communicate progress and completion of tests to leadership. Maintain good record keeping habits. Responsibilities include: Lead the development and implementation of new toothpaste formulas for North America - under the hello and Tom's of Maine brands. Be the R&D point of contact for commercial teams for hello and Tom's key innovation. Lead experimental designs to help identity launch formulations and production processes. Make lab and pilot batches of formulations for stability testing and customer sampling. Support Pilot Plant batches by preparing batch sheets, requesting raw materials, pre-weighing materials and batch execution. Support plant trial batches at various North America locations as needed. Manage multiple stability studies at the lab, pilot and plant scale, working with support groups (analytical, flavor, micro, etc) to deliver samples and follow up on results. Create/maintain all required R&D documentation to ensure flawless, high quality commercialization. This may include R&D project timelines, formula databases, tech transfer checklists, proof of claims documents, registration documents, NODs, change control documents and technical justifications. Manage independent projects and collaborate with cross-functional teams, leveraging diverse perspectives to achieve key project goals and influence beyond your network Create and maintain all required documentation under GMP/GLP per FDA/ICH guidelines as required. Validate new raw material suppliers and packaging as required. Maintain a clean and organized working environment. Work on multiple tasks with changing priorities. Make day-to-day recommendations and escalate issues regarding formula development. Stay abreast of supplier and competitor's new developments. Abide by and follow all company standard operating procedures (SOPs) including those for product development, regulatory and safety. Deliver effective presentations of technical data and project status. Required Qualifications Bachelor's or MS Degree in Chemistry, Chemical Engineering, Biochemistry, Food Science or related fields. 4+ years of experience developing and/or implementing consumer products. Experience scaling up formulations from the lab through pilot or manufacturing scale. Technical understanding of related chemistry and science (for example: active deliveries, emulsions, surfactants, rheology, liquid chemistry) Strong knowledge of ingredient chemistry to be able to understand how the interdependencies and interactions of raw material components affect formulation and process performance Able to multi-task and coordinate various simultaneous projects Strong oral and written communication skills Self-motivated but able to work well within a team environment Knowledge of cGMP /GMP and GLP Excellent computer skills (MS Office, Google suite, SAP, etc.) Preferred Qualifications Knowledge of equipment and procedures for making oral care formulations Experience running stability studies for OTC/Drug products Experience & understanding of producing formulations at the manufacturing scale. Experience with claim substantiation. Strong project planning and management experience Knowledge of Regulatory environment in North America and across the globe Knowledge of ICH/FDA guidelines for stability and testing of new drug products Other Required Experience/Qualifications: Previous laboratory experience preferred. Must have hands-on experience with laboratory instruments. Must be able to learn new procedures in a short period of time. Must be able to follow SOPs and obtain reliable and accurate data. Must be able to document data consistently and accurately. Must be able to perform routine tasks daily

About Us: At the Center for Food as Medicine and Longevity, we are pioneering the integration of nutrition and healthcare. By leveraging food's therapeutic potential, we aim to revolutionize how diseases are prevented, treated, and managed. We are embarking on an ambitious project to provide comprehensive academic literature reviews and practical guidance on using food and dietary supplements to treat various diseases and improve healthspan. How to Apply: (YOU MUST SEND AN EMAIL TO **********************) Key Responsibilities: Conduct in-depth research on the therapeutic use of food and dietary supplements for various health conditions and healthspan improvement. Draft detailed academic literature reviews, ensuring all information is thoroughly researched and supported by scientific evidence. Integrate research findings into coherent, accessible content that bridges scientific evidence with practical health advice. Manage and organize research materials, references, and drafts using Zotero. Edit and refine content to ensure clarity, accuracy, and engagement. Qualifications: Post-doc or recent Ph.D., MD, or DrPH graduate from a distinguished institution in science, nutrition, public health, or a related field Exceptional research, writing, and organizational skills Ability to develop and maintain guides on the impact of food and dietary supplements on various health conditions and longevity Expertise in conditions such as diabetes, heart disease, anxiety, depression, chronic respiratory diseases, and digestive disorders Commitment to producing scientifically robust and practical guides for healthcare providers and the public Why Join Us: Contribute to impactful work that has the potential to change lives and reshape healthcare Gain valuable experience in research, writing, and the intersection of nutrition and medicine Work with a passionate team dedicated to promoting health equity and innovative healthcare solutions Publication and Recognition Opportunities: Use the research material as a first author for narrative and/or systematic reviews Contribute to the development of resource guides, and your name will appear on our website as the key researcher for specific diseases and health span states. Compensation and Work Structure: This position offers a unique blend of academic and professional opportunities. While the postdoc will be compensated, this role also has a significant volunteer academic component. Stipend: $400 - $600 per literature review per assigned topic, such as Muscle Elasticity, Glowing and Radiant Skin, etc. Additional tasks outside pre-approved literature reviews will only be paid at approximately $25-30 per hour with prior written agreement. How to Apply: We want to hear from you if you're ready to contribute to this impactful project! You MUST send an email to ********************** with the following: A brief, informal introduction about yourself Your interest in this position Recent work and achievements A demonstration of your exceptional writing and organizational skills Your resume as an attachment Visit foodmedcenter.org for more information about our work and mission. Applications submitted through any other method will not be considered. Industry: Non-profit Organizations Employment Type: Part-time

The Fine Lab The Fine lab is a Neuro-oncology research group that makes use of complex 3D human brain tumor models (GLICOs: ********************************************* ********************************************* to perform translational research into glioblastoma. We are a diverse, multinational and interdisciplinary team (MD/PhDs, cell/ molecular biologists, veterinarians & bioinformaticians) with a vibrant research and training environment in the Tri-Institutional Campus of New York City. We have secure funding and exceptional access to patient tissue/cell lines, as well as cutting edge scientific resources and training. The Role The successful candidate will be trained to work with embryonic stem cell-derived cerebral organoids interfaced with tumor stem cell biology, to facilitate High Throughput drug screenings. They will be a key personnel of the incipient Starr Foundation Cerebral Organoid Translational Core and will report to its supervisor. In achieving this goal, the candidate will have the opportunity to perform, and receive training in, a wide range of laboratory techniques including: reprogramming of induced pluripotent stem cells (iPSCs), embryonic and induced pluripotent stem cell culture, the generation and culture of cerebral organoids and tumor organoids and the use and development of cell based assays to test novel therapeutic drug candidates, and cutting edge gene editing and molecular biology techniques. They will be an integral member of the lab with the ability to work independently, contribute to experimental design, interpret and present your results to the wider team, and receive recognition through authorship on published work. Job responsibilities Collect and process biological patient specimens to establish glioma stem cell lines. Perform routine human iPSC/ESC culture. Generation and maintenance of hESC-derived cerebral organoids. Perform 2D and 3D high-throughput drug screening using luminescence-based assays. Prepares and maintains detailed records, logs and summary reports of all procedures and results including graphs, scientific calculations, and statistical analysis charting. May run routine biochemistry assays including western blotting and RT-PCR. May perform routine molecular biology laboratory procedures, such as PCR, DNA electrophoresis, cloning and DNA preparation. May perform microscopic imaging analyses. Minimum requirements: • Commitment to delivering meaningful advancements that directly enhance patient care and well-being. • Bachelor's degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry) or equivalent practical experience. • One year ‘wet lab' work experience, including mammalian cell culture. • Strong teamwork skills with a proven ability to effectively interact and collaborate with other scientific disciplines. • Must currently be authorized to work in the United States to ensure immediate onboarding and integration into the team. Preferred qualifications • Master's or Ph.D. degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry). • Experience culturing human stem cells (hESCs/ iPSCs) and 3D models. • Significant hands-on cell based assays for high throughput drug screening. • Experience generating stable, genetically engineered cell lines; working with lentivirus. • Experience in biochemistry assays including western blotting and RT-PCR. The position will be subject to annual approvals based on performance, with a starting salary commensurate with qualification and experience. It will require flexibility to work a few hours twice per month over the weekend given the nature of cerebral organoid generation procedures. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. Minorities are strongly encouraged to apply.

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 new 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, 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 plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 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 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: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II 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 ; 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 1- or via email at . 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).

About the Team Safety Systems sits at the forefront of OpenAI's mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI. Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm. The work of this research taskforce spans four pillars: * Worst‑Case Demonstrations - Craft compelling, reality‑anchored demos that reveal how AI systems can go wrong. We focus especially on high importance cases where misaligned AGI could pursue goals at odds with human well being. * Adversarial & Frontier Safety Evaluations - Transform those demos into rigorous, repeatable evaluations that measure dangerous capabilities and residual risks. Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas. * System‑Level Stress Testing - Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions. We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve. * Alignment Stress‑Testing Research - Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards. We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress. About the Role We are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail-and how to fix them. Your insights will directly influence OpenAI's product launches and long‑term safety roadmap. In this role, you will * Design and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above. * Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI. * Create automated tools and infrastructure to scale automated red‑teaming and stress testing. * Conduct research on failure modes of alignment techniques and propose improvements. * Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk. * Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes. * Mentor engineers and researchers, fostering a culture of rigorous, impact‑oriented safety work. You might thrive in this role if you * Already are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter. * Have 4+ years of experience in AI red‑teaming, security research, adversarial ML, or related safety fields. * Possess a strong research track record-publications, open‑source projects, or high‑impact internal work-demonstrating creativity in uncovering and exploiting system weaknesses. * Are fluent in modern ML / AI techniques and comfortable hacking on large‑scale codebases and evaluation infrastructure. * Communicate clearly with both technical and non‑technical audiences, translating complex findings into actionable recommendations. * Enjoy collaboration and can drive cross‑functional projects that span research, engineering, and policy. * Hold a Ph.D., master's degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required). What we Offer * A chance to shape safety practices at the frontier of AGI. Your work will directly lower the changes of catastrophic misalignment. * Access to cutting‑edge models, tooling, and compute resources. * A highly collaborative, mission‑driven environment with world‑class colleagues. * Competitive compensation, equity, and benefits. If you're excited to push AI systems to-and beyond-their limits so we can deploy them safely, we'd love to hear from you! Join us in the taking on the most important challenge for the world today. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Our goals are to give you a real sense of what it's like to work at Jane Street full time as a Machine Learning Researcher, and a truly unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models. At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what's possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. Trading poses unusual challenges-large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques. You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes. Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication. About You If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. You should be: A PhD student or postdoc with practical experience working on empirical ML research problems Interested in applying logical and mathematical thinking to all kinds of problems Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains Fluent with a versatile set of models and tricks Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework Eager to ask questions, admit mistakes, and learn new things If you'd like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street's internship program here. If you're a recruiting agency and want to partner with us, please reach out to **********************************.

Job DescriptionOriginally founded in 1991 as Harlem RBI, DREAM has grown to annually serve more than 2,500 youth across East Harlem and the South Bronx through a network of seven PreK-12, extended-day, extended-year DREAM Charter Schools and community sports-based youth development programs. Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom. We dream big, as well, with an aggressive five-year plan to expand to serve 3,500 students across seven schools-growing our organization's impact and leveling the playing field for all children. To learn more, visit wearedream.org. The Prospect Researcher plays a critical role in expanding DREAM's donor base through proactive prospect sourcing, research, and cultivation. Reporting to the Senior Director of Advancement Operations, the Prospect Researcher will continue to build a strong donor acquisition program that will source and qualify donors through research, strategic cultivation and fundraising events and partner with fundraising leads to build robust major gifts portfolios across the team. This role is a great opportunity for someone looking to evolve and grow a prospect research function as part of building a best-in-class major gifts program. The ideal candidate will demonstrate an expansive and strategic approach to prospect research, with a strong emphasis on accuracy, thoroughness, and meticulous record-keeping. Responsibilities Prospect Research and Identification Proactively identify potential prospects from a variety of sources, including databases, networks, and external events; Prepare and present detailed research reports on donor biographies, philanthropic interests, and giving capacity; Synthesize research into various documents to support the fundraising process, including in-depth prospect and donor profiles, biographies, lists, and meeting briefings; Execute relationship mapping for DREAM volunteer leaders and top donors; Utilize research and wealth screening tools, along with experience using database applications for prospect identification and management; Monitor news, trends, and wealth events to maintain up-to-date intelligence on high-net-worth individuals and potential donors. Donor Pipeline Building and Management Manage regular prospect reviews with frontline fundraisers to refresh portfolios and build their prospect pools; Collaborate with team leaders in portfolio reviews, prioritization, and qualification of new prospects; Provide strategic recommendations for donor engagement based on research findings, ensuring alignment with DREAM's new donor acquisition strategy. Systems and Operations Build systems, tools, and workflows to grow and evolve DREAM's prospect research function; Track and report KPIs measuring prospecting activity and results; Maintain and analyze data on prospective and existing donors; Assist in maintaining the accuracy and integrity of records in the donor database. Qualifications Bachelor's degree, preferred; Three plus years of dedicated prospect research experience in a non-profit setting; Excellent project management skills, including the ability to prioritize and organize work streams with high attention to detail and meet deadlines; Ability to quickly evaluate and synthesize large volumes of information into concise and actionable insights; Strong knowledge of research and wealth screening tools, along with experience using database applications for prospect identification and management; Analytical mindset and ability to use data to support efficiencies and strategies; Curiosity and ability to connect dots between donors and prospects; Strong entrepreneurial skills, a take-initiative attitude, and the ability to thrive in a fast-paced environment; Ability to create positive working relationships with a variety of internal and external stakeholders; A strong belief in the mission and values of DREAM, including the belief that all students can succeed, and a deep desire to make a difference in the lives of our students, families, and community. Working Expectations The Prospect Researcher is part of the Advancement team, which currently works 3 days in the office and up to 2 days remote, per week (subject to change, and with some weeks requiring more time in-person, for example for donor events); Some evening and/or weekend work, for example to attend donor events, is required. Benefits and Paid Time Off We offer comprehensive benefits including: Flexible Medical Health Plans, subsidizing the majority of costs for the employee, their spouse/domestic partner and children; The ability to select between a variety of medical plans according to what best suits the employee's needs; Dental and vision plans; Disability benefits; Life insurance; Up to 12 weeks fully paid of Parental Leave; Flexible spending account options; Pre-tax commuter benefits (parking and transit); Fitness and entertainment discounts; A variety of support through our employee assistance program (EAP); 403(b) retirement plan with employer match starting at 4% after one year, with increases tied to DREAM tenure; Referral, performance, and tenure milestones bonuses; Discounted school meals through our in-house Scratch Food Program; Tuition reimbursement support; Access to a professional development fund; All full-time Network Support Team employees are eligible for approximately 48 days off throughout the year including holidays, sick days, personal days and summer Fridays. Benefits are subject to change. Compensation DREAM offers a competitive salary commensurate with relevant experience with the potential for an annual performance-based increase. The incoming salary range for this position is $80,000 to $95,000 per year. New hires are typically brought into the organization at a salary closer to the start of the range depending on qualifications, internal equity, and the budgeted amount for the role. All staff are eligible for annual performance-based increases. Because we value staff tenure in each role, we do not currently cap salary ranges. Our Commitment to Diversity, Equity, and Inclusion At DREAM, diversity, equity, and inclusion are a matter of mission. From our schools to our playing fields, DREAM is committed to building a team where each individual can bring their full identity and experience to work because representation matters-it enriches our team culture, enhances our ability to innovate, and strengthens our impact in and out of the classroom. DREAM engages staff that represent and appreciate the diversity of our majority Black and Hispanic student body, while working to ensure that our practices are equitable, welcoming, and productive. We are dedicated to creating a world where youth, especially youth of color, have permission to dream-along with the tools and opportunities to make their dreams reality. Come dream with us. DREAM Maxims All Kids Can. This Kid Can.DREAM is Family.Fun is a Serious Value.Teamwork Makes the DREAM Work.Fail. Persist. Exceed.DREAM Big. Applying to DREAM We know applying for a new job can be a daunting process. In addition, studies have shown that historically underrepresented individuals often only apply to roles if they meet 100% of the qualifications. We encourage all applications! You may be just the person we need. If you have any questions about your application or interview process, do not hesitate to ask your recruiter; we are here to help! DREAM provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If accommodation is needed to participate in the job application or interview process, please contact your recruiter. If you are a current DREAM employee, please click here to review our Internal Selection Process before applying. 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.

Job Description IVI RMA of North America state-of-the-art fertility clinics is currently seeking a Mid-Level EMBRYOLOGIST to join our growing team at RMA Basking Ridge. This position will be responsible for executing IVF laboratory procedures according to established policies as well as adhering to RMA's quality assurance/control operating procedures. The ideal candidate will build on previous embryology experience and train to perform all aspects of clinical embryology independently and in accordance with RMA's Laboratory Philosophy, Mission, and Performance Standards. Responsibilities: Follow established policies for IVF procedures, specimen handling, and tissue storage Maintain quality assurance, quality control, and operating guidelines for lab services Adhere to quality control policies and documentation requirements. Follow OSHA requirements for safe lab operation Obtain proficiency to perform all lab services efficiently and reliably on an independent basis Participate in clinical and research lab operations as directed Identify problems that may adversely affect patients and facilitate a solution Participate in lab proficiency testing Attend laboratory meetings as requested Attend continuing education programs as requested Requirements: Bachelor's of Science 2+ years embryology experience Demonstrate an aptitude for performance of laboratory services Aptitude to make appropriate judgments regarding clinical significance of laboratory data Excellent work ethic and motivation to learn lab procedures High level of listening and counseling skills Aptitude to work independently and demonstrate good judgment Ability to access, input, and retrieve information from a computer. Knowledge of office procedure and office machines (i.e., computer, fax, copier, etc.) Must be able to work weekends and some holidays IVI-RMA offers a comprehensive benefits package to all employees who work a minimum of 30 hours per week. Medical, Dental, Vision Insurance Options Retirement 401K Plan Paid Time Off & Paid Holidays Company Paid: Life Insurance & Long-Term Disability & AD&D Flexible Spending Accounts Employee Assistance Program Tuition Reimbursement About IVIRMA Global: IVIRMA is the largest group in the world devoted exclusively to human Assisted Reproduction Technology. Along with the great privilege of providing fertility care to our patients, IVIRMA embraces the great responsibility of advancing the field of human reproduction. IVIRMA Innovation, as one of the pillars of IVIRMA Global, is a renowned leader in fertility research and science. Check out our websites at: *********************** & *********************** EEO “IVIRMA is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: IVIRMA is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at IVIRMA are based on business needs, job requirements and individual qualifications, without regard to race, color, religion and/or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. IVIRMA will not tolerate discrimination or harassment based on any of these characteristics. IVIRMA encourages applicants of all ages.” 3 days a week Monday-Friday and every other weekend

At the dawn of the new millennium, a unique information technology company was born: HCL Technologies. As narrated in the video below, HCL Technologies has demonstrated remarkable growth through the recent economic downturn, emerging as one of only eight 21st century listed technology companies in the world to cross $1bn in Net Profit, $6bn in Revenue and $15bn in Market Capitalization. Job Description The contingent worker will be working under the supervision of Oncology In Vivo Pharmacologists and will be required to adhere to the relevant established Animal Use Protocols and SOPs for PDX work at Pharmaceutical. Scope of work The contingent worker will be responsible for mouse cancer model development. This work will primarily be the establishment and maintenance of patient-derived cancer xenografts but could also include development of cell line xenografts. This work requires sterile technique and attention to detail. Work is conducted both in an animal facility (vivarium) as well as in biosafety cabinets (laminar flow hoods). The worker will also be required to participate in all of the preparation steps necessary for animal studies: surgical tool preparation, tool sterilization, and animal shaving and preparation. Required skills / background - The worker should have a minimum 1-3 years experience working with mice, preferably immune deficient mice. The workers should also have experience in small animal surgery and sterile techniques. The workers should preferably have knowledge of cancer research experimental designs and methods. Experience with dosing mice would be useful but is not a strict requirement. Additional Skills: Mouse handling (preferable immune deficient), mouse surgery, sterile technique, tissue culture, and database maintenance Level candidate we are seeking (i.e. 1-3yrs = Base/Entry; 4-7yrs = Intermediate; 7+ = Advanced) Entry or intermediate dependent upon experience and skill sets Qualifications BS Additional Information Best Regards, Akriti Gupta ************** Morristown, NJ 07960

Real Staffing Group is a global staffing and recruitment specialist providing contract and permanent talent to a wide range of companies and industries. We take time to understand your career ambitions, working with you and for you at every stage of your job search. By applying our industry knowledge to your specific requirements we aim to supply you with the most effective route to your new career opportunity. To find out more about Real Staffing Group please visit http://www.RealStaffingGroup.com Job Description The contingent worker will be working under the supervision of Oncology In Vivo Pharmacologists and will be required to adhere to the relevant established Animal Use Protocols and SOPs for PDX work at Pfizer. Scope of work • The contingent worker will be responsible for mouse cancer model development. • This work will primarily be the establishment and maintenance of patient-derived cancer xenografts but could also include development of cell line xenografts. • This work requires sterile technique and attention to detail • Work is conducted both in an animal facility (vivarium) as well as in biosafety cabinets (laminar flow hoods). • The worker will also be required to participate in all of the preparation steps necessary for animal studies: surgical tool preparation, tool sterilization, and animal shaving and preparation. Qualifications Required skills / background • The worker should have a minimum 1-3 years' experience working with mice, preferably immune deficient mice. • The workers should also have experience in small animal surgery and sterile techniques. • The workers should preferably have knowledge of cancer research experimental designs and methods. Experience with dosing mice would be useful but is not a strict requirement. Additional Skills: • What are the most critical skills needed? Mouse handling (preferable immune deficient), mouse surgery, sterile technique, tissue culture, and database maintenance • What level candidate are you seeking? (i.e. 1-3yrs = Base/Entry; 4-7yrs = Intermediate; 7+ = Advanced) • Entry or intermediate dependent upon experience and skill sets Additional Information All your information will be kept confidential according to EEO guidelines. IF THIS IS THE JOB OPPORTUNITY FOR YOU GIVE ME A CALL AT 619-573-4748 ASAP! I look forward to hearing from you!

Makro Scientific: Growing Pharmaceutical, Biotechnology and Medical Device companies always need TOP Talent. Since 1996, MakroScientific's proven staffing solutions have helped many Life Sciences companies succeed and visualize their goals by increasing innovation and decreasing costs while maintaining the complex service level expectations. Our global presence with offices in USA (NJ, PA, IL, CA) and offices in UK, Europe and Asia enables us to be a powerful contributor and connector of right Talent. Job Description The contingent worker will be working under the supervision of Oncology In Vivo Pharmacologists and will be required to adhere to the relevant established Animal Use Protocols and SOPs for PDX . The workers should also have experience in small animal surgery and sterile techniques. The workers should preferably have knowledge of cancer research experimental designs and methods. Experience with dosing mice would be useful but is not a strict requirement Qualifications B.S. degree in Biology, The worker should have a minimum 1-3 years' experience in small animal surgery and sterile techniques working with mice , preferably immune deficient mice. Additional Information The responsible for mouse cancer model development. This work will primarily be the establishment and maintenance of patient-derived cancer xenografts but could also include development of cell line xenografts. This work requires sterile technique and attention to detail. Work is conducted both in an animal facility (vivarium) as well as in biosafety cabinets (laminar flow hoods).

Application Type Name: Teacher District Name: Syosset CSD Region Name: Long Island Salary Type: Salary Category:

Applied Researcher I (AI Foundations) 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 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 ; 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 1- or via email at . 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).

We're looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with thousands of high-end GPUs. Trading poses unusual challenges- large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production. We'll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches-drawn from LLMs, image models, RL agents, recommendation systems, or classical ML methods-to shape the future of ML at Jane Street. You'll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You'll also be hiring new colleagues, attending conferences, and teaching techniques to teammates-all of which we consider to be real and impactful parts of the job. About You If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. There's no fixed set of skills we are looking for, but you should bring: Practical experience working on empirical ML problems The ability to apply logical and mathematical thinking to all kinds of problems Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains Fluency with a versatile set of models and tricks The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favorite ML framework An eagerness to ask questions, admit mistakes, and learn new things If you'd like to learn more, you can read about our interview process and meet some of the team.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description: • scientist in the cancer in vivo pharmacology group with in vivo experience in small mammals (mouse/rats-preference in immune compromised strains) to support a team of in vivo pharmacologists execute in vivo tumor biology studies both within the vivarium and research lab. • The candidate must function as an integral member of the in vivo biology team, responsible for supporting all assigned aspects of in vivo testing in a coordinated manner with other members of the team. • The candidate must be dependable and possess excellent time management, communication, and organizational skills. Qualifications Mouse handling (preferable immune deficient), dependability, teamwork, sterile technique, tissue culture, and lab maintenance. Additional Information Best Regards, Anuj Mehta ************

Real Staffing Group is a global staffing and recruitment specialist providing contract and permanent talent to a wide range of companies and industries. We take time to understand your career ambitions, working with you and for you at every stage of your job search. By applying our industry knowledge to your specific requirements we aim to supply you with the most effective route to your new career opportunity. To find out more about Real Staffing Group please visit http://www.RealStaffingGroup.com Job Description The contingent worker will be working under the supervision of Oncology In Vivo Pharmacologists and will be required to adhere to the relevant established Animal Use Protocols and SOPs for PDX work at Pfizer. Scope of work • The contingent worker will be responsible for mouse cancer model development. • This work will primarily be the establishment and maintenance of patient-derived cancer xenografts but could also include development of cell line xenografts. • This work requires sterile technique and attention to detail • Work is conducted both in an animal facility (vivarium) as well as in biosafety cabinets (laminar flow hoods). • The worker will also be required to participate in all of the preparation steps necessary for animal studies: surgical tool preparation, tool sterilization, and animal shaving and preparation. Qualifications Required skills / background • The worker should have a minimum 1-3 years' experience working with mice, preferably immune deficient mice. • The workers should also have experience in small animal surgery and sterile techniques. • The workers should preferably have knowledge of cancer research experimental designs and methods. Experience with dosing mice would be useful but is not a strict requirement. Additional Skills: • What are the most critical skills needed? Mouse handling (preferable immune deficient), mouse surgery, sterile technique, tissue culture, and database maintenance • What level candidate are you seeking? (i.e. 1-3yrs = Base/Entry; 4-7yrs = Intermediate; 7+ = Advanced) • Entry or intermediate dependent upon experience and skill sets Additional Information All your information will be kept confidential according to EEO guidelines. IF THIS IS THE JOB OPPORTUNITY FOR YOU GIVE ME A CALL AT 619-573-4748 ASAP! I look forward to hearing from you!

Makro Scientific: Growing Pharmaceutical, Biotechnology and Medical Device companies always need TOP Talent. Since 1996, MakroScientific's proven staffing solutions have helped many Life Sciences companies succeed and visualize their goals by increasing innovation and decreasing costs while maintaining the complex service level expectations. Our global presence with offices in USA (NJ, PA, IL, CA) and offices in UK, Europe and Asia enables us to be a powerful contributor and connector of right Talent. Job Description The contingent worker will be working under the supervision of Oncology In Vivo Pharmacologists and will be required to adhere to the relevant established Animal Use Protocols and SOPs for PDX.The workers should also have experience in small animal surgery and sterile techniques.The workers should preferably have knowledge of cancer research experimental designs and methods.Experience with dosing mice would be useful but is not a strict requirement Qualifications B.S. degree in Biology, The worker should have a minimum 1-3 years' experience in small animal surgery and sterile techniques working with mice, preferably immune deficient mice. Additional Information The responsible for mouse cancer model development.This work will primarily be the establishment and maintenance of patient-derived cancer xenografts but could also include development of cell line xenografts.This work requires sterile technique and attention to detail.Work is conducted both in an animal facility (vivarium) as well as in biosafety cabinets (laminar flow hoods).

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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. 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 new 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. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. 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 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 Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 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 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience with common training optimization frameworks (deep speed, nemo) Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs 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. Sales Territory: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher 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 ; 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 . click apply for full job details

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description: • scientist in the cancer in vivo pharmacology group with in vivo experience in small mammals (mouse/rats-preference in immune compromised strains) to support a team of in vivo pharmacologists execute in vivo tumor biology studies both within the vivarium and research lab. • The candidate must function as an integral member of the in vivo biology team, responsible for supporting all assigned aspects of in vivo testing in a coordinated manner with other members of the team. • The candidate must be dependable and possess excellent time management, communication, and organizational skills. Qualifications Mouse handling (preferable immune deficient), dependability, teamwork, sterile technique, tissue culture, and lab maintenance. Additional Information Best Regards, Anuj Mehta ************