Principal research scientist jobs in Passaic, NJ - 1,619 jobs

New York or San Francisco Who we are: Our name is inspired by Theodore Roosevelt's ‘Citizenship in a Republic' speech, which pays homage to the ‘(hu)man in the Arena'. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause. We're a close-knit team of scientists and builders redefining the future of hardware engineering. If you share our passion for delving deep into real-world problems and solving them with fully autonomous AI, join us in the Arena. What we do: Our collective future is being built in the physical world, but the builders of tomorrow's technology can no longer rely on yesterday's tools. At Arena, we're building the world's first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we\u2019re rapidly already scaling into the defense, automotive, and aerospace industries, and we're just getting started. About the role: As a Principal Research Scientist, Electromagnetism, you will lead the architecture, training, and validation of our electromagnetic foundation model, bridging numerically solved physics equations, neural operators, and product-grade simulation. How you will contribute: Design FNO/AFNO/Deformation-FNO/U-FNO multiscale operator architectures with embedded physical constraints Implement causality/passivity enforcement and uncertainty calibration Proprietary Training Data Corpora Specify coverage targets Work with Arena's Platform Engineering team to orchestrate solver farms and synthetic generation Work with Arena Electrical Engineers to define a set of requirements and interface for physically-generated training data via hardware-in-the-loop test campaigns Develop sim-to-real calibration using for example VNA/near-field/BER measurements Evaluation & Validation Build automated accuracy and constraint eval suite Own releases and reporting Optimization & Performance Profile inference latency and throughput Leadership & Documentation Author design docs, experiments, and technical reports Qualifications You have: PhD or equivalent research track in Electrical Engineering, Applied Physics, Computer Science, or Applied Math Proven expertise building and training large foundation models Experience with FNO and/or Neural Operators Understanding of EM solvers (FEM/FDTD/MoM) Strong Python, PyTorch/JAX, C/C++ for bindings Proven record of physics-constrained ML or scientific simulation deployment [Preferred] Prior work on passivity/causality enforcement in learned models [Preferred] Familiar with PDN, high-speed channel design, and EMI compliance testing [Preferred] Experience and familiarity with high performance principles (e.g. Slurm for scheduling, message passing workloads, etc.), and cloud service provider HPC ecosystems (e.g. AWS Batch, Elastic Fabric Adapter, etc.) 100% of the monthly premium for Aetna medical insurance, plus vision and dental coverage 401(k) Retirement Plan Unlimited PTO Lunch every day from local restaurants via Sharebite Relocation support provided (NYC or SF) Benefits Salary: The base salary range for this position is $250,000 - $350,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages. Additional benefits: relocation support, health insurance options, and retirement plan offerings as listed above. #J-18808-Ljbffr

We are seeking an accomplished Senior Credit Researcher to join our investment team and drive high-conviction, alpha-generating ideas in corporate credit markets. This role requires a hybrid skill set: deep fundamental credit expertise coupled with advanced quantitative and analytical capabilities. The successful candidate will combine rigorous company-level research with data-driven insights to uncover opportunities across the credit spectrum. Key Responsibilities: Alpha Generation Conduct fundamental research across corporates and sectors, identifying relative value and mispricings. Develop investment theses supported by both traditional analysis and quantitative validation. Generate actionable recommendations across bonds, tranches, CDX. Research & Analysis Build detailed financial and valuation models, including scenario-based stress testing and capital structure simulations. Apply quantitative techniques (e.g., factor modelling, regression analysis, statistical testing) to enhance investment conviction. Leverage large datasets - including alternative and market microstructure data - to uncover signals and trends. Integrate macroeconomic and micro credit drivers, sector dynamics into both qualitative and quantitative research frameworks. Collaboration & Leadership Partner with PM, traders, and risk management to align research with portfolio construction and risk-adjusted return goals. Collaborate with quantitative researchers and data engineers to refine analytical toolkits. Represent credit research perspectives in firmwide investment discussions. Qualifications: 7-12+ years of experience in fundamental credit research with exposure to quantitative methods; hedge fund or credit-focused buy-side experience preferred. Proven track record of generating profitable investment ideas. Strong foundation in corporate finance, credit valuation, and capital structure analysis. Proficiency in Python, R, or MATLAB for modelling, statistical analysis, and data manipulation. Familiarity with databases, APIs, and data science workflows (SQL, Pandas, NumPy, etc.). Excellent communication skills with the ability to present complex analysis clearly and persuasively. Commercial mindset and disciplined risk awareness. Preferred Experience: Coverage in high-yield, distressed, or special situations credit. Familiarity with quantitative factor models, machine learning applications, or statistical arbitrage concepts applied to credit. Experience with large/alternative datasets (credit card, supply chain, satellite, etc.) and integration into research processes. Advanced degree in a quantitative or financial discipline (CFA, MBA, MSc, PhD) desirable but not essential. What We Offer Competitive compensation structure with performance-based upside. The opportunity to drive research impact at the heart of a high-conviction, performance-driven hedge fund. Access to cutting-edge data, tools, and infrastructure to support research innovation. A collaborative environment that prizes intellectual rigour and creativity.

The Department of Civil Engineering and Engineering Mechanics at Columbia University is seeking a highly motivated and skilled Postdoctoral Researcher to join our team in Experimental Solid Mechanics . This is an exciting opportunity to contribute to cutting‑edge research aimed at advancing our understanding of material behavior in extreme environments experimentally, in collaboration with the computational mechanics group. The successful candidate will be involved in an experimental effort to investigate the mechanics of materials subjected to dynamic loading. The research will involve the use of advanced experimental techniques, such as digital image correlation, Hopkinson bar, and analytical tools to gain insights into the behavior of materials under various loading conditions. We are looking for a candidate with the following qualifications: Solid Mechanics Background : A strong foundation in the principles of solid mechanics, including material behavior, deformation, and failure. Experimental Techniques : Hands‑on experience with experimental methods and equipment relevant to solid mechanics testing (e.g., mechanical testing systems, strain measurement, high‑speed imaging, digital image correlation). Problem‑Solving and Analytical Skills : Ability to independently identify, troubleshoot, and solve complex experimental and analytical problems. Communication Skills : Strong written and verbal communication skills, able to present research findings to both technical and non‑technical audiences. Collaboration Skills : Proven ability to work effectively in multidisciplinary research teams Preferred Qualifications Ph.D. in Mechanical Engineering, Civil Engineering, Materials Science, or a related field. Demonstrated publication record in relevant areas of research. Experience with custom experimental setup development and instrumentation is a plus. Interested applicants should submit the following documents: A cover letter detailing research experience and interests Curriculum vitae (CV) Contact information for at least two academic references Relevant publications (optional) Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting. #J-18808-Ljbffr

The Staff Scientist will prepare grant applications and other scientific communication materials on a wide range of genomic research topics. This role is deeply immersed in the science of NYGC and supports our research team in building and expanding a successful, independently-funded research base. They collaborate with diverse teams of students, postdoctoral fellows, and principal investigators, and relates scientific and strategic goals to individual grant opportunities and other research communications vehicles. Typical grants include individual investigator, multi-PI and research center grants. Key Responsibilities Takes a lead role in preparation and project management of individual and multi-investigator proposals; Provides advice on grantsmanship, editorial support and standardized language for administrative sections; Identifies opportunities for funding Manages the scientific writing process, including proposal management, team-building and coordination; establishing timelines and deliverables; Provides draft preparation, review and revision of grants and scientific writing. Coordinates with and supports Sponsored Research staff to ensure timely, accurate application submission. Edits manuscripts, fellowship applications, research progress reports, clinical research protocols and other research communications materials. Interacts with lab members to independently develop new grant proposals. Organizes small group meetings with lab members to review project progress, plan experiments, and integrate team data. Assists in the design and planning of functional genomics and genetic perturbation experiments; and, Assists in analysis and figure preparation of diverse types of data, including high-throughput sequencing, microscopy images, gel images, and schematic diagrams. Key Responsibilities include (but are not limited to): PhD in genetics, genomics, cancer biology, neuroscience or related discipline required; 5+ years research experience, including contributing to grant writing, required. NIH experience strongly desirable; Exceptional written communication skills required to prepare and edit competitive grant applications, publications, administrative materials, and other research communications; Ability to grasp complicated technical subjects, synthesize diverse lines of evidence and apply these abilities to technical writing required; Experience handling the scientific writing and project management process for multi-investigator and institutional grant applications strongly preferred; Experience with standard grant development concepts, practices, and procedures in a research environment preferred; Applied statistics background required, to perform power calculations and develop quantitative metrics for genomic assays; Ability to collaborate with diverse teams of investigators and administrative personnel required; and, Strong project management skills and experience required. Competencies Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations, and delivers on commitments. Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary The salary range for this position is $62,000-78,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

Your work will change lives. Including your own. The Impact You'll Make Recursion is a leading TechBio company that is transforming drug discovery by using AI and automation to find new medicines. Its powerful platform combines different technologies to create one of the world's largest proprietary collections of biological and chemical data. By running millions of lab experiments each week and using one of the most powerful supercomputers in the world, Recursion brings together technology, biology, and chemistry to revolutionize medicine. We are looking for an experienced and motivated scientist to join our computational physics team, which is essential for designing molecules in our pipeline by supporting active drug discovery projects. This team also develops and implements cutting-edge methods to keep our platform at the forefront of computational sciences. In this role, you will: * Lead the development and implementation of advanced computational physics methods into efficient and scalable workflows, to address challenging drug discovery problems and drive project success * Collaborate with software engineers and drug designers in multidisciplinary teams to deliver scientific solutions to complex technical problems * Keep up with the latest scientific developments, assess new technologies for their use in internal workflows, and devise plans for their implementation * Communicate your work to both internal and external audiences to guide decisions and contribute to the scientific community The Team You'll Join You will become an essential member of the Computational Physics team, which supports several phases of drug discovery, from initial hypothesis to lead optimization. The team's goal is to build highly accurate and automated atomistic models and pipelines to obtain crucial molecular-level insights for advancing drug candidates. We employ physics-based and physics-informed models, such as molecular dynamics simulations, absolute and relative binding free energy methods, metadynamics, MM/PBSA, and quantum-mechanical calculations, to enable cost-effective and scalable structure-based drug discovery. We work closely with design teams and collaborate with partners like the AI experts at the Frontier Hub, making our highly accurate methods more accessible and scalable for all. The Experience You'll Need * PhD in Chemistry, Physics, Computational Chemistry, Computational Physics, or a related subject area * Excellent programming skills in Python for tool development * Proven track record in the development of molecular simulation or computational chemistry tools * Basic knowledge of drug discovery processes and the application of molecular simulations in this field * Experience in deploying and orchestrating large-scale jobs using compute clusters or cloud-based infrastructures Working Location & Compensation: This is an office-based, hybrid role in our New York office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $129,000 to $163,300. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-EP1 The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Meta's Monetization pillar is at the cutting edge of delivering highly personalized ads that create maximum value for both users and advertisers. Within this pillar, the Ranking & AI (RAI) Research team drives state-of-the-art research initiatives, focusing on high-impact, high-risk projects-true moonshots-with the potential to redefine Meta's monetization strategies. By consistently pushing the boundaries of what's possible, we deliver breakthrough innovations that not only advance Meta's business objectives but also result in publications at top-tier conferences.Inspired by recent breakthroughs in large language models (LLMs), the RAI Sequence Learning team is pioneering a transformative approach to recommender systems. We are reimagining recommendation as a generative sequence modeling problem, moving beyond traditional methods that treat recommendations as classification tasks on pairs. Instead, our approach models user and ad content, as well as historical interaction data, as sequences-unlocking new possibilities for personalization and relevance.As a research scientist on this team, you will play a pivotal role in shaping the future of technology and business at Meta, especially as we enter the era of artificial general intelligence (AGI). Your contributions will directly influence the trajectory of Meta's monetization strategies and help define the next generation of recommender systems. **Required Skills:** AI Research Scientist, CoreML - Monetization Responsibilities: 1. Extracting meaningful signals from both 1st-party and 3rd-party data sources 2. Advancing representation learning 3. Scaling solutions to efficiently process hundreds of billions of data points 4. Driving continuous algorithmic innovation 5. Seamlessly productionizing research breakthroughs all while optimizing serving costs **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. PhD in Computer Science, Machine Learning, or a relevant technical field 8. 3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training 9. Experience as a technical lead on a team and/or leading complex technical projects from end-to-end 10. Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL) 11. Programming experience in Python and hands-on experience with frameworks such as PyTorch 12. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 13. A track record of impactful research in the ranking/retrieval/recommendation space, as demonstrated by publications, open-source contributions, or real-world deployments 14. First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL) 15. Experience in pre-training, post-training, fine-tuning models 16. Experience in causal learning, sequence learning, classification, neural networks, graph learning, items associated, in-depth content understanding (user behavior, user interaction) 17. Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward 18. Willing to collaborate with others in a productive, interdisciplinary environment **Public Compensation:** $184,000/year 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.

The R&D Senior Scientist reports directly to the Senior R&D Manager and is responsible for delivering technical excellence in the area of applied material sciences within the Specimen Management R&D organization. The R&D Senior Scientist will drive innovation activities such as technology scouting, technical feasibility studies, strengthening IP position as well as contributing to new product development pipeline. Specific areas of focus may include: participating in cross-functional team discussions and providing functional inputs; preparing samples/prototypes for internal or external analysis; developing and executing test protocols and documenting results with minor guidance; conducting root cause analysis for product development and sustaining engineering activities; maintaining laboratory equipment and facilities. **Job Description** We are **the makers of possible** BD is one of the largest global medical technology companies in the world. Advancing the world of health is our Purpose, and it's no small feat. It takes the imagination and passion of all of us-from design and engineering to the manufacturing and marketing of our billions of MedTech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities. We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you'll be supported to learn, grow and become your best self. Become a **maker of possible** with us. **PRIMARY DUTIES, RESPONSIBILITIES & AUTHORITIES** : + Represents the R&D function as an Extended Team member in support of large technology and product development programs and may also support projects with less complexity as a Core Team member. + Design and execute experiments that explore technical feasibility, further the development, verification, and evidence generation efforts across all assigned programs and projects. + Document and build technical knowledge within assigned business areas; explore and recommend solution concepts and principles when applicable. + Drive key aspects of product development work streams including but not limited to Requirements Management, Design Verification, and Design Transfer to Manufacturing for applicable assignments. + Ensure program success by working cross functionally with R&D-Engineering, Marketing, Medical Affairs, Manufacturing, Quality and Regulatory Affairs. + Participate in intellectual property growth; submit patent applications and Invention Disclosure Records. + Works under general direction and independently determines or develops approach to solutions. + Adhere to Good Laboratory Practices, all relevant lab operational procedures, and actively participate in maintaining the setting and functionality of the IDS Analytical laboratories and equipment. + Mentor and train junior team members and foster a collaborative work environment. + Travel as required to conferences, manufacturing sites, customer visits, etc. **REQUIRED QUALIFICATIONS** : + Ph.D. in Materials Science & Engineering, Chemical Engineering, Chemistry, Biomedical Engineering, Biochemistry, or related field is required. **PREFERRED SKILLS & EXPERIENCE:** + Sound knowledge of material science and engineering principles + Working experience in medical device industry + Familiar with design control process and medical device regulations + Knowledge of method validation and six sigma methodology is preferred + Excellent written and verbal communication skills + Good technical judgement and ability to convince others + Ability to work in a cross-functional environment + Self-motivated with a strong sense of urgency and willing to take hands on work + Expected to become proficient in specific core competency areas (dependent on specific role/requirements within the R&D IDS organization; for example biological sciences would include coagulation, clinical chemistry, hematology, etc., material sciences would include FTIR, DSC, HPLC, etc.). + Experience with handling clinical specimens (particularly human blood) is desired; blood borne pathogen safety training is necessary and will be provided. + Prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting. At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting. For certain roles at BD, employment is contingent upon the Company's receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD's Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law. **Pay Transparency Statement:** At BD, we are committed to supporting our associates' well-being, development, and success through a performance-based culture. For this position, BD offers a competitive compensation package along with the following benefits specific to this role: · Annual Bonus · Potential Discretionary LTI Bonus Health and Well-being Benefits · Medical coverage · Health Savings Accounts · Flexible Spending Accounts · Dental coverage · Vision coverage · Hospital Care Insurance · Critical Illness Insurance · Accidental Injury Insurance · Life and AD&D insurance · Short-term disability coverage · Long-term disability insurance · Long-term care with life insurance Other Well-being Resources · Anxiety management program · Wellness incentives · Sleep improvement program · Diabetes management program · Virtual physical therapy · Emotional/mental health support programs · Weight management programs · Gastrointestinal health program · Substance use management program · Musculoskeletal surgery, cancer treatment, and bariatric surgery benefit Retirement and Financial Well-being · BD 401(k) Plan · BD Deferred Compensation and Restoration Plan · 529 College Savings Plan · Financial counseling · Baxter Credit Union (BCU) · Daily Pay · College financial aid and application guidance Life Balance Programs · Paid time off (PTO), including all required State leaves · Educational assistance/tuition reimbursement · MetLife Legal Plan · Group auto and home insurance · Pet insurance · Commuter benefits · Discounts on products and services · Academic Achievement Scholarship · Service Recognition Awards · Employer matching donation · Workplace accommodations Other Life Balance Programs · Adoption assistance · Backup day care and eldercare · Support for neurodivergent adults, children, and caregivers · Caregiving assistance for elderly and special needs individuals · Employee Assistance Program (EAP) · Paid Parental Leave · Support for fertility, birthing, postpartum, and age-related hormonal changes Leave Programs · Bereavement leaves · Military leave · Personal leave · Family and Medical Leave (FML) · Jury and Witness Duty Leave **Why Join Us?** A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It's also a place where we help each other be great, we do what's right, we hold each other accountable, and learn and improve every day. To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you'll discover a culture in which you can learn, grow, and thrive. And find satisfaction in doing your part to make the world a better place. To learn more about BD visit ********************** Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally-protected characteristics. Required Skills Optional Skills . **Primary Work Location** USA NJ - Franklin Lakes **Additional Locations** **Work Shift** At BD, we are strongly committed to investing in our associates-their well-being and development, and in providing rewards and recognition opportunities that promote a performance-based culture. We demonstrate this commitment by offering a valuable, competitive package of compensation and benefits programs which you can learn more about on our Careers Site under Our Commitment to You (********************************************* . Salary or hourly rate ranges have been implemented to reward associates fairly and competitively, as well as to support recognition of associates' progress, ranging from entry level to experts in their field, and talent mobility. There are many factors, such as location, that contribute to the range displayed. The salary or hourly rate offered to a successful candidate is based on experience, education, skills, and any step rate pay system of the actual work location, as applicable to the role or position. Salary or hourly pay ranges may vary for Field-based and Remote roles. **Salary Range Information** $106,600.00 - $175,900.00 USD Annual Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

AI/ML Research Scientist (Generative AI & Agentic Systems) - Job Order 3524 Work Arrangement: On-site (No remote/telework allowed) Security Clearance: U.S. Citizenship Required; Must be eligible to obtain and maintain a Secret Clearance Industry: National Security, R&D, and Mission Integration About the Organization We are a premier national security and technology integrator delivering high-impact solutions across land, sea, space, and cyberspace. Our research division carries a distinguished legacy of innovation, dating back to some of the most influential laboratories in telecommunications and defense history. We specialize in solving complex challenges for government agencies and essential utilities by pushing the boundaries of state-of-the-art technology. The Role As an AI/ML Research Scientist, you will join a high-caliber R&D team dedicated to developing next-generation AI technologies. Your primary focus will be on Generative AI and Large Language Models (LLMs). You will be responsible for moving beyond theory into application-customizing and deploying advanced technologies to solve real-world problems for mission-critical sponsors. Under the guidance of senior leadership, you will conduct cutting-edge research into Agentic AI, developing autonomous and semi-autonomous systems that can reason and execute complex tasks. Key Responsibilities " Conduct R&D focused on Generative AI and the practical application of LLMs. " Design and implement Agentic AI frameworks to address customer-specific challenges. " Collaborate with cross-functional teams to build, tune, and optimize AI/ML models. " Contribute to the full lifecycle of software development, from academic research to production-ready code. Compensation & Benefits " Target Salary Range: $104,000 - $166,000 (Commensurate with experience, education, and geographic location). " Comprehensive Benefits: Includes medical, dental, and vision insurance; 401(k) matching; paid parental leave; and competitive PTO/holiday schedules. Qualifications Required Education & Experience: " Bachelor's Degree: 5+ years of relevant experience. " Master's Degree: 3+ years of relevant experience. " PhD: 0+ years (Entry-level PhD candidates are encouraged to apply). " Degree should be in Computer Science, Engineering, Physics, or a closely related technical field. Technical Skills: " Core AI/ML: Proven experience in model building, fine-tuning, and research. Preference is given to candidates with peer-reviewed publications in international AI/ML conferences. " Programming: Proficiency in Python is essential. Familiarity with C, C++, or JavaScript is highly valued. " LLM Proficiency: Hands-on experience working with state-of-the-art Large Language Models at the API level. o Note: The technical interview process will include a live coding assessment involving programmatic interactions with AI tool/function-calling APIs. " Agentic AI: Familiarity with modern agent development frameworks. " Software Engineering: Strong grasp of Linux, Git, CI/CD toolchains, Docker, and Postgres. " Cloud Architecture: Foundational knowledge of AWS development. Desired Skills (Preferred): " Expertise in modern AI-assisted development tools (e.g., Claude Code or similar LLM-based coding assistants). " Deep familiarity with PyTorch or TensorFlow. " Experience with the Model Context Protocol (MCP) and multi-modal generative agents. " Knowledge of orchestration and deployment tools such as Kubernetes, Terraform, and AWS Bedrock. Why is This a Great Opportunity Well respected R&D organization working in a variety of industries and up-to-date with the latest technologies

Requisition ID 61042 Position Type (US) Full Time Workplace Arrangement #LI-Onsite About Kerry Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment. About the role The RDA Process Scientist performs research and development work with an operations focus which bridges the gap between RD&A Taste Innovation and KERRY's commercialization process. He/she will focus on process optimizations, scale-ups, solving regulatory and other hurdles to new products and technologies introductions. He/she will collaborate with other scientists (especially Taste Innovation team), engineers, maintenance, QC, sanitation, etc. Key responsibilities * Work closely with Taste Innovation team to develop and scale up taste modulation products * Focus on solving the regulatory hurdles * Liaising with cross functional teams engineering, research, technical, QC, sanitation, maintenance, and/or production staff, regulatory, procurement, etc. * Planning, organizing, and overseeing process or production trials * Suggests improvements or modifications to current processes * Generates ideas for new products and researches feasibility in terms of profitability, resource availability and compliance with regulations. * Adheres to Standard Operating Procedures (SOPs) and Cleaning In Place (CIP) * Keeps recording data log (flow rate, pressure, temperature, etc) and analyzing data * Writes and reads technical papers, reports, reviews, and specifications. Qualifications and skills * Bachelor's or Master's in food process science, food engineering, agricultural science, engineering, material science or related science fields. * Experience in a food production environment or industrial laboratory Experience with upscaling of food manufacturing processes is a plus moving from lab scale to industrial scale. * Knowledge of good manufacturing practice * Problem-solving skills, analytical skills, and attention to detail * Strong communication and interpersonal skills, able to work effectively as part of a team. * Excellent analytical, organizational, and multi-tasking skills. The pay range for this position is $107,757 to $181,563 in Annual Salary. Kerry typically does not hire an individual at the top or near the top of the range, as we are a pay-for-performance company, and this range is set to continue to reward performance annually while in role. Compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate within the above range may be influenced by a variety of factors including skills, qualifications, experience, and internal equity. Kerry offers a competitive benefits package, including medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, Employee Share Plan, Life, disability, and accident insurance, and tuition reimbursement. This job posting is anticipated to expire on Jan 30th, 2026. Kerry 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. Kerry will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen. Additional information can be found at Know Your Rights Workplace Discrimination is Illegal (dol.gov). Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a "starter kit," investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name. Recruiter Posting Type DNI

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll drive original research at the boundaries of AI, working on new models, algorithms, and architectures for reasoning in complex environments. Your work will shape the scientific agenda of the lab and inform everything we build. You'll have autonomy to pursue fundamental research and see your ideas deployed in real-world settings. Responsibilities Formulate and explore open questions in deep learning, reinforcement learning, and agent-based AI. Develop novel architectures, algorithms, and theoretical insights. Collaborate with engineers to implement, experiment, and iterate rapidly. Publish, present, and contribute to the broader research community. Mentor and support the next generation of technical talent. Requirements Demonstrated track record of impactful AI/ML research (e.g., papers, open-source, or novel deployments). Deep expertise in at least one of: LLMs, RL, agent-based systems, generative modeling, theory of intelligence. Strong mathematical background (probability, optimization, statistics). Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX). Ability to turn theory into robust, practical code. Up-to-date on the latest research in LLMs from reading papers, articles, or re-implementing breakthroughs. Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

We are conducting a research study aimed at improving smart glasses technology for people with disabilities, specifically those with hearing loss. We are looking for individuals with low to moderate hearing loss to participate and help us test and provide feedback on our smart glasses prototype.Who We're Looking For: Adults (18 years or older) with mild to moderate hearing loss Comfortable using wearable technology or open to trying it Able to provide feedback and participate in a guided user experience session No prior experience with smart glasses needed Up to 3 hours of active commitment What You'll Do: Wear and interact with a prototype of smart glasses Complete tasks or activities while using the device Share your experience and provide feedback in a short interview or survey Why Participate: Be part of a project that advances accessibility and inclusive technology Your input will directly influence how we design assistive devices for the Deaf and hard of hearing community Receive compensation for your time and effort $70 - $75 an hour 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.

Product Development & Sourcing Manager (R&D / Corporate Gifting) Employment Type: Full-Time Salary: $125k+ We are looking for a Product Development & Sourcing Manager to lead product research and development for our corporate gifting business. This role focuses on identifying winning product ideas, developing them with manufacturers, and bringing them to market, before handing off ongoing purchasing and vendor management to the buying team. The ideal candidate understands market trends, has a strong product sense, and can take ownership of the front end of the product lifecycle-from concept through supplier agreement. Key Responsibilities: Research market trends and identify new product opportunities for corporate gifting Develop product concepts and work with manufacturers to bring ideas to life Source and evaluate vendors and manufacturers domestically and overseas Negotiate initial pricing, MOQs, and terms with vendors Present product ideas, samples, and cost structures to leadership for approval Transition approved products to the purchasing team for ongoing buying and execution Collaborate with internal teams to ensure products meet quality, branding, and cost goals Qualifications: Experience in product development, sourcing, or R&D (corporate gifting, promotional products, or consumer goods preferred) Strong understanding of manufacturing and supply chains Creative, market-driven mindset with strong commercial awareness Ability to negotiate and communicate effectively with vendors Highly organized and able to manage multiple product initiatives

Clinical Research Investigator (MD/DO) DM Clinical Research, the largest privately-owned research management organization in the Houston area and one of the top 50 in the country, is looking for an Investigator for our site in Jersey City, NJ. This individual will conduct all clinical trials (studies) according to ICH, GCP, local regulations, study protocols, and company processes. Responsibilities Ensures the medical well-being and safety of the participants through the safe performance and execution of the studies. Assists in maintaining clinical oversight and quality on the studies registered on and delivers on study targets, thereby contributing to the commercial success of the site. Reviews enrollment progress, pre-screening and screening success rates, screen failure rates, safety, and retention of participants. Interprets protocols and IB and participates in initiatives to strategize for patient recruitment. Carries out clinical evaluation and assessment of participants to ensure eligibility to enroll in studies. Ensures and protects the welfare and safety of participants through ethical conduct. Fulfills and complies with all medical duties as per protocol, SOP/COP and ICH GCP and local regulations. Exercises meticulous attention to detail in documentation and patient care. Requirements Medical license (MD, DO) - New Jersey 2 years experience as a Clinical Research Investigator (Principal Investigator or Sub-Investigator) Bilingual Spanish a plus Flexible hours - schedule can be tailored as required.

Arxada is a global leader in microbial control, committed to solving the world's toughest preservation challenges through cutting-edge science. We aim to help our customers develop more sustainable solutions that protect and maintain the health and wellbeing of people, extend the life of vital infrastructure, and work to reduce ours and our customers' ecological footprint. We are seeking a Data Scientist with a strong background in chemistry or biological sciences to support our R&D team's artificial intelligence platform development. The successful candidate will be responsible for transforming complex microbiological data into a standardized digital format, and building dashboards to interact with the data, with suitability for artificial intelligence platform usage. Role Summary We are seeking an AI scientist who can collaborate closely with a data scientist to design, build, and deploy AI/ML modules that accelerate biocide formulation development, improve predictive decision-making (e.g., stability, efficacy, compatibility), and shorten lab iteration cycles. This role sits at the intersection of formulation chemistry/microbiology, experimental design, and data/AI-driven R&D. You will own end-to-end problem framing, data readiness (with LIMS/ELN), model-user requirements, and lab validation of AI outputs-turning models into actionable tools for bench scientists. Key Responsibilities AI/ML Module Co-Development Convert business/scientific questions into model requirements (e.g., predict stability phase separation, viscosity drift, microbial kill under specific conditions, raw-material compatibility, cost/COGS optimization). Specify and prioritize features/inputs (formulation composition, physical-chemical properties, process parameters, storage conditions, raw-material attributes). Partner on model selection & validation (regression/classification, Bayesian optimization, active learning, multi-objective optimization). Define acceptance criteria (accuracy, applicability domain, explainability). Lead lab validation loops: design confirmatory experiments, refine datasets, and iterate with the data scientist. Work with Data Scientists to generate high-quality datasets for model training/validation. Define and develop code to utilize LLMs to optimize for target product profiles (efficacy, stability, cost-in-use, sensory, compatibility, sustainability constraints). Translate lab findings into mechanistic and statistical insights that inform model features and constraints. Support deployment of user-facing tools (dashboards, notebooks, apps); ensure interpretability and ease of adoption. Data Readiness & Governance Define metadata schemas for formulations, processes, and test methods; ensure data lineage and versioning. Collaborate with IT/data engineering on pipelines from ELN/LIMS to analytics platforms (e.g., Azure ML/Databricks/Power BI). Cross-Functional Influence & Change Management Train and coach bench scientists on using AI tools in everyday formulation work. Create clear communication artifacts (model cards, SOPs, one-pagers, and decision trees). Drive efficiency where AI can eliminate iterations, reduce time-to-lab, and de-risk scale-up. Minimum Qualifications MS/PhD in Chemical Engineering, Chemistry, Materials Science, Pharmaceutical Sciences, or related; or BS with 7+ years relevant experience. 3-5+ years in formulation development (biocides, preservatives, antimicrobials, or adjacent fields such as HI&I, coatings, personal care, agrochemicals, pharmaceutical development). Strong experimental design/DoE and statistical analysis skills (JMP, Design-Expert, R, Python, or similar). Demonstrated experience collaborating with data scientists on predictive modeling and/or optimization projects. Proficiency with ELNs/LIMS and data hygiene-able to structure datasets for modeling and ensure reproducibility. Preferred Qualifications Cheminformatics/QSAR/QSPR familiarity (e.g., molecular descriptors, RDKit) and property estimation. Exposure to Bayesian optimization, active learning, or multi-objective optimization for formulations. Experience with model interpretability (SHAP/feature importance) and applicability domain. Hands-on experience with Azure ML, Databricks, or similar ML platforms; dashboarding with Power BI / other. Background in chemistry Knowledge of sustainability-by-design (biobased actives, VOC limits, hazard/risk assessment). Core Competencies Scientific Rigor & Problem Framing: Converts vague needs into testable hypotheses and model-ready requirements. Data Literacy: Interprets model metrics, understands overfitting, and knows when to trust vs. test. Collaboration & Influence: Bridges R&D, Regulatory, Data Science, and Operations. Execution & Ownership: Bias to action; closes the loop from model insight to validated lab outcome. Adaptability & Learning Agility: Comfort with rapid iteration and evolving toolchains. The expected salary range for this role is 55.000$ - 70.000$, but specific employee compensation may vary depending on factors including experience, education, training, licensure, certification, location and other job-related, non-discriminatory factors permitted by law. This role is also eligible to earn a short-term incentive bonus and the following benefits: 401(k) plan, medical, dental, vision, life, and disability insurance, paid time off, paid holidays and paid sick leave. US01

& Sons: Schweid & Sons is a family-owned and operated premium ground beef company with a proud heritage spanning four generations. We supply top-quality beef to Retail, Foodservice, and National Account customers across the U.S. and are committed to quality, customer service, and innovation in protein manufacturing. Summary: Are you a creative and driven professional with a passion for developing innovative premium protein products? Schweid and Sons is looking for a Food Scientist to add to our team. Reporting to the Director of Innovation, you will lead innovation and product development projects and initiatives, formulation, process improvement, ingredient, recipe and nutritional development, and provide food science strategy and guidance to take the company into the future. This role focuses on developing, improving, and ensuring the safety and quality of premium protein products, from fresh cuts to processed meats. The ideal candidate will have an understanding of meat science, food safety regulations, and product development processes within the beef and other protein industries. To be successful in this role, you must have strong food science, product development experience in protein, ability to improve and build repeatable processes, experience in meat operations, and knowledge of regulatory requirements. You should be comfortable leading key projects, working independently to ensure deadlines are met while balancing priorities. This is an incredible opportunity to join a well-established food manufacturing company that prides itself on putting its team members first by providing an incredible culture, amazing benefits, and commitment to innovation. Job Functions /Responsibilities: * Manage innovation projects, communicate, and coordinate with internal stakeholders as well as customers. Research and develop new products, including raw, fresh, cooked, cured, and value-added items. * Improve existing products in terms of taste, texture, shelf life, yield, and nutritional profile. * Design and conduct experiments on meat formulations, marination, cooking processes, and preservation techniques. * Organize sensory panels and conduct rigorous product testing to ensure we deliver a great tasting product. * Ensure all products comply with USDA, FDA, HACCP, and company food safety standards. * Conduct shelf-life testing and sensory evaluations of beef products. * Analyze raw materials and finished products for microbial, chemical, and physical properties. * Collaborate with procurement, QA, production, and marketing teams to bring new products to market. * Monitor trends in meat science, consumer preferences and processing technologies. * Prepare responses to customer inquiries with adequate scientific and technical evidence and provide solutions. * Complete the verification of the implementation of standard operating procedures for the laboratory or kitchen facilities. * Responsible for maintaining accurate records of formulations, procedures, and processes in appropriate software systems and platforms. Qualifications / Experience: * Bachelor's degree in Food Science or related field or equivalent experience. * USDA, FDA, HACCP and SQF experience. * 3 - 5 + years of Food Science in the protein category required. * 2 + years related protein experience required, preference for beef experience. * Food/nutrition manufacturing experience required. * Fundamental understanding of regulatory compliance and nutritional calculation software. * Understanding of daily lab and production processes. Expertise in raw material handling and stability. * Ability to independently formulate products based on consumer and customer requirements, identifying potential issues and promptly alerting managers or customers. Experience in food concept development and prototype improvement. * Some culinary and recipe development experience is a plus. * Able to effectively analyze data to develop presentations and reports. * Must be proficient in the use of Microsoft Office (Excel, Outlook, Word, and PowerPoint). What We Offer * The expected compensation for this role is $90,000 - $120,000 per year, depending on experience and qualifications. Final compensation will be discussed during the interview process. * Time Off: PTO, Safe & Sick Time, and Paid Holidays. * Health Benefits: Medical, vision, dental, HRA and voluntary disability benefits. * Financial Benefits: 401(k) + employer match and life insurance. * Location: This is an on-site role located in either East Rutherford, NJ or College Park, GA. * Environment: Office environment.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. **Job responsibilities** + Conduct end-to-end research typically within Natural Language Processing (NLP) + Collaborate with internal and external researchers and with applied engineering teams + Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research + Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals + Participate in relevant top-tier academic conferences to broaden the impact of your contributions **Required qualifications, capabilities, and skills** + PhD in Computer Science or related field or a MS with at least 3 years of experience in the field + Research publications in prominent NLP venues; e.g., conferences, journals + Strong expertise in one or more specialized areas of relevance e.g., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understanding + Experience in NLP/ML platforms such as Tensorflow/Keras, PyTorch, AWS, Hugging Face, etc. + Proficiency with rapid prototyping and disciplined software development processes + Expertise in software engineering within collaborative project settings **Preferred qualifications, capabilities, and skills** + Extensive programming skills in Python, Java or C++ Interest in problems related to the financial services domain (specific past experience in the domain is not required) JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans **Base Pay/Salary** New York,NY $137,750.00 - $195,000.00 / year

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. Job responsibilities Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning Collaborate with internal and external researchers and with applied engineering teams Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals Participate in relevant top-tier academic conferences to broaden the impact of your contributions Required qualifications, capabilities, and skills PhD in Computer Science or related field or a MS in Computer Science or related field with at least 3 years of experience in the field Research publications in prominent AI venues; e.g., conferences, journals Expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, … Strong expertise in synthetic data, generative AI, differential privacy, uncertainty quantification, LLM alignment and behavior modeling using RL, bandit techniques, watermarking. time-series, reasoning and foundational models Proficiency with rapid prototyping and disciplined software development processes Expertise in software engineering within collaborative project settings Preferred qualifications, capabilities, and skills Extensive programming skills in Python (required), Java or C++ (optional) Interest in problems related to the financial services domain (specific past experience in the domain is not required)

About Us Queens Carbon is pioneering breakthrough technology to efficiently produce carbon-neutral cementitious materials - without the green premium. Our patented manufacturing process, known as “The Instant Pot of Cement Manufacturing,” uses water to lower production temperatures, dramatically improving energy efficiency and cutting emissions. Backed by Breakthrough Energy Fellows, ARPA-E, world-class climate investors, and strategic partners, we're proving that sustainability can be both economically viable and globally competitive. Position Overview As a Senior R&D Scientist, you will be working within R&D Product and Process Development team and specifically assist in building our product evaluation laboratory with emphasis on testing Supplementary Cementitious Materials (SCM) in mortars and concrete per ASTM standards. You will lead the product evaluation team and be responsible for concrete mix design, creating design of experiment, and performing experiments according to the standard protocols. You will take the lead in data analysis, process refinement, and creating bi-weekly reports that summarize your findings for the rest of the team. You'll also help us build our team and develop a friendly and healthy company culture. As our research progresses, we'll run into unique challenges, so a highly creative mind and love of dynamic problem solving is a must. You will have opportunities to grow into a leadership role, as well as branch out into other areas of the business. Your research will directly shape the future of our technology and growth of our business. Roles and Responsibilities Assist in building concrete fabrication and testing lab. Investigate partial replacement of cement with our SCM and its effect on the physical, rheological, and performance characteristics of mortars and concretes. Develop specifications for mechanical characteristics and durability of cement and concrete blends including our sustainable cementitious materials. Assist the R&D and engineering teams with scale-up from bench top to pilot and production scale. Efforts will focus on advancing our insight regarding our product performance that notably contributes to refining our processing parameters and operations. Work with system engineering and deployment counterparts to support design and fabrication of our production plant. Help build and develop our team, facility and calibrate or upgrade equipment as needed. Carry out general research on targeted industries, including attending technical conferences and reading and evaluating published literature. Requirements PhD in civil engineering with experience in concrete design, use of natural/synthetic supplementary materials (pozzolan, fly as, slag ….) or a related industry experience; or a master's degree in the listed fields and over 10+ years of industry experience. Experience in testing physical, chemical, rheological, and mechanical characteristics and durability of cement, mortar, and concrete blends. Highly creative, strong problem-solving skills, the ability to learn quickly, and the propensity to tackle new problems. Strong understanding of data collection, analysis, automation, and proficiency in analytical software platforms. A great team-focused attitude, and a willingness to teach and learn from others. Excellent written and oral communication skills. These requirements are not set in cement, so if you're passionate about this role and think you'd be a great fit, please reach out Position is located in Pine Brook, New Jersey Benefits and Salary A competitive salary Equity in the company Insurance options including health, dental, vision, life, and 401k A friendly time-off policy that encourages a healthy work-life balance Sweet company swag :) Queens Carbon is committed to building a diverse team and is home to an inclusive culture. We are an equal opportunity employer, and we strive to include a variety of voices in our team that can provide different perspectives. We do not discriminate based on race, religion, ethnicity, gender, sexuality, disability status, age, or veteran status.

Job Description Role Description: Are you looking for a new career opportunity that will allow you to develop and use cutting-edge AI technologies to solve challenging NLP problems while making a positive impact on the world? If so, we would love to hear from you! Dyania Health is looking for Research Scientists to help us transform the way in which machines process biomedical information, and revolutionize the way in which clinical trials are conducted. You will be working alongside team members with deep technical expertise in NLP, top medical professionals (MDs, pharmacology PhDs, and others), and an experienced product team. The ideal candidate will have strong foundations in computer science and ML/NLP, superb communication skills, and a proven track record of delivery under tight deadlines. Requirements Required Qualifications: Graduate degree in a relevant field (Computer Science, Mathematics, Electrical Engineering) 2+ years experience in building and deploying ML models Experience in applying transformer-based deep-learning techniques to challenging NLP problems Fluency in Python and experience with Python-based ML frameworks such as PyTorch Outstanding communication skills Preferred Qualifications: Publications in top-tier NLP conferences Background in classical computational linguistics Experience with Java (or Kotlin/Scala) and/or a functional programming language Responsibilities: Design, build, evaluate, and deploy algorithms and models for accurately extracting medical information from structured and unstructured data sources Work closely with product, UX, and clinical teams to prototype and test new functionality Analyze performance results and convey your analyses to relevant stakeholders Conduct research, publish and present your findings at relevant scientific venues Team Culture: • We lead with empathy for patients and our teammates. • We value small egos, self-awareness, and humility in our teammates. • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift. • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team. • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.