software engineer Jobs in New York United States

software engineer

energy research scientist Jobs in New York United States

energy research scientist

associate scientist - endocrinology Jobs in New York United States

associate scientist - endocrinology

innovation analyst Jobs in New York United States

innovation analyst

regulatory science specialist Jobs in New York United States

regulatory science specialist

research scientist

DataAnnotation

<div>
 We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots complex physics problems and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
 </li>
 <li>
 A current, in progress, or completed Master's and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #physics
</div>

Energy Research Scientist

Mount Sinai Health System

<div>Description
The Associate Scientist is experienced in the conduct of research involving the understanding of human diseases and improvement of human health. May assist in the operation of the clinical laboratory. Engages in clinical investigation or other research, production, technical writing, and related activities, and may mentor less senior scientist and Associate Researcher staff. 
Responsibilities<ul><li>
Conducts research to develop methodologies, instrumentation and procedures for medical application, analyzing data and presenting findings.</li><li>
Designs and conducts complex clinical research studies requiring the determination and evaluation of alternative methods, computational modeling, diagnosis and treatment.</li><li>
Plans and directs studies to investigate human or animal disease, preventive methods, and treatments for disease.</li><li>
May assist in clinical laboratory operations.</li><li>
Follows strict safety procedures when handling materials to avoid contamination.</li><li>
Teaches principles of medicine and medical and laboratory procedures to physicians, residents, students, and research staff.</li><li>
Confers with health departments, industry personnel, physicians, and others to develop health safety standards and public health improvement programs.</li><li>
Develops treatments and designs research tools and techniques.</li><li>
Explores subject area and defines scope and selection of problems for investigation through conceptually related studies.</li><li>
Develops hypotheses to be tested and methodology for evaluating results.</li><li>
Examines the results of clinical trials and adjusts the dosage levels to reduce negative side effects or to induce better results.</li><li>
Communicates research results to the scientific community via published papers.</li><li>
Develops new proposals for research and obtain support for new and/ or continuing research activities.</li><li>
Makes recommendations that have a major impact on extensive scientific research activities.</li><li>
Performs other related duties.</li></ul> 

Qualifications<ul><li>
Ph.D. in Biological Science or related field</li><li>
Three years experience</li></ul> 
Employer Description
Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. 
Compensation
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $58661 - $110000 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div>

Associate Scientist - Endocrinology

Anvia Therapeutics

<div>
 
 
 Job Title: Scientist II- Immunology
 
 
 
 
 Location: NYC
 
 
 
 
 About Us:
 
 
 
 Anvia Therapeutics is a dynamic and innovative biotech company dedicated to developing small molecule inhibitors targeted at treating inflammatory and autoimmune diseases. We foster a collaborative environment where scientific excellence and creativity drive our mission to develop impactful medicines.
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking a highly motivated immunology Scientist to drive hypothesis-driven in vitro immunology research in a fast-paced and innovative drug discovery environment. The successful candidate will design, develop, and execute complex cellular assay systems, including primary human immune cells, patient-derived samples, and disease-relevant cell lines to support immune pharmacology and mechanism-of-action (MoA) studies across inflammatory disease programs such as IBD, rheumatoid arthritis, and dermal inflammation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and execute hypothesis-driven cellular assays to support immune pharmacology, target validation, and MoA studies.
 </li>
 <li>
 Develop, optimize, and validate complex in vitro assay systems using primary immune cells, patient-derived samples, and disease-relevant or engineered cell lines.
 </li>
 <li>
 Perform functional immune assays including cell activation, proliferation, cytokine production, signaling, and cytotoxicity, using both primary and cell-line&ndash;based systems.
 </li>
 <li>
 Contribute to immune pharmacology assessments, including compound potency, pathway modulation, selectivity, and translational relevance.
 </li>
 <li>
 Apply a strong mechanistic understanding of immune and inflammatory signaling pathways to guide assay design and data interpretation.
 </li>
 <li>
 Utilize flow cytometry, ELISA/MSD/other cytokine/chemokine profiling techniques, protein- and signaling-based assays, and related techniques to generate high-quality, reproducible data.
 </li>
 <li>
 Analyze, interpret, and clearly communicate experimental results to project and leadership teams.
 </li>
 <li>
 Troubleshoot and refine experimental systems to improve robustness, scalability, and biological relevance.
 </li>
 <li>
 Maintain accurate experimental records using electronic laboratory notebooks.
 </li>
 <li>
 Collaborate closely with lead discovery, chemistry, translational, and external partners to advance program milestones.
 </li>
 <li>
 Stay current with emerging immunology technologies and incorporate innovative methodologies where appropriate.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 PhD in Immunology, Biology, Biotechnology, Molecular Biology, or a related field with 2+ years of relevant experience.
 </li>
 <li>
 Hands-on experience developing and executing complex cellular assays using primary immune cells, patient-derived samples, and cell line&ndash;based systems.
 </li>
 <li>
 Experience working with functional immune readouts, including flow cytometry&ndash;based phenotyping and signaling assays, and cytokine measurement (ELISA/MSD/other).
 </li>
 <li>
 Demonstrated expertise in protein-level analysis of signaling pathways, including Western blotting and related biochemical techniques used to assess pathway activation, inhibition, and mechanism of action.
 </li>
 <li>
 Strong understanding of cell signaling pathways relevant to immune and inflammatory biology.
 </li>
 <li>
 Proven ability to independently design experiments, troubleshoot assays, and manage multiple priorities.
 </li>
 <li>
 Proficiency with data analysis and visualization tools (e.g., GraphPad Prism, FlowJo, Excel).
 </li>
 <li>
 Excellent written and verbal communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience supporting immune pharmacology and MoA characterization in early drug discovery.
 </li>
 <li>
 Background in inflammatory or autoimmune disease biology (IBD, RA, dermatology preferred).
 </li>
 <li>
 Familiarity with assay validation, quantitative potency assessment and translational biomarker analysis/ identification.
 </li>
 <li>
 Experience working in a fast-paced, innovative biotech environment.
 </li>
 </ul>
 
 
 
 
 Why Join Us?
 
 <ul>
 <li>
 Be part of a passionate team making a difference in biotech innovation.
 </li>
 <li>
 Collaborative and dynamic work environment.
 </li>
 <li>
 Hands-on experience with state-of-the-art technologies.
 </li>
 <li>
 Opportunities for professional development and advancement.
 </li>
 <li>
 Competitive compensation and benefits.
 </li>
 </ul>
 
 
 
 
 The salary range for this position is $115,000-$150,000 per year. The actual compensation offered will be based on factors such as relevant experience, education, and skills. In addition to base salary, we offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan options.
 
 
 
 
 
 Anvia Therapeutics is an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, creed (religion), color, national origin, sex (including gender identity and sexual orientation), age, disability, marital status, citizenship status, military status, genetic information, or any other characteristic protected by federal, state, or local law.
 
 
 
 
 
 Our employment decisions are based on merit, qualifications, and business needs. We are committed to providing a work environment free from discrimination, harassment, and retaliation, and we undertake affirmative action efforts to promote equal opportunity for all employees and applicants.
 
 
 
 
</div>

Scientist II, Immunology

The Jackson Laboratory

<div>Research Assistant III | Type 1 Diabetes
New York, Onsite 5 days a week
JAX | NYSCF&rsquo;s Type 1 Diabetes team is seeking a Research Assistant III. Reporting to a Principal Scientist, you will work closely with other members of the JAX | NYSCF Research Institute, including stem cell biologists, automation engineers, software developers, bioinformatics, and operations. In this role you will help support several ongoing projects, performing cell culturing and differentiation to contribute to the overall goals of the Type 1 Diabetes team.
The ideal candidate is self-motivated and ambitious with a strong interest in Type 1 Diabetes, immunology, and stem cell research. They will have hands-on experience with a variety of laboratory techniques, including pluripotent stem cell cultures and the execution of in vitro immunological assays; and comfortable or have experience with small animal handling. Training is provided for those without experience.
What you&rsquo;ll do<ul><li>
Perform cell culture to support ongoing projects (including stem cell culture and differentiation).</li><li>
Perform flow cytometry and immunostaining.</li><li>
Perform in vivo work with mice, including SQ/IP injections, blood collection, intraperitoneal procedures, and tissue harvest.</li><li>
Work with project lead to establish and execute immunological assays.
</li><li>Perform ELISA, and ELISPOT assays.</li><li>
Analyze data and maintain extremely organized and accurate records using an Electronic Lab Notebook (ELN).</li><li>
Create routine scientific presentations and reports.</li><li>
Work with the Lab Operations team to ensure reagents and consumables inventory is accurately and efficiently supplied.</li><li>
Execute, troubleshoot, and communicate tasks independently and effectively.</li></ul>
What we&rsquo;re looking for<ul><li>
BSc/BA +6 years of academic or industry experience in Biology or relevant scientific discipline; MSc is a plus.</li><li>
Experience with mammalian cell culture outside of coursework labs (experience with iPSC/hESC is highly desired).</li><li>
Advanced mouse handling and husbandry skills preferred.</li><li>
Experience with flow cytometry and immunostaining.</li><li>
Excellent written, verbal, and interpersonal communication skills.</li><li>
Proficiency in both Mac and PC computer environments (Microsoft Word, Excel, PowerPoint and Electronic Lab Notebooks).</li><li>
Effective time management and organizational skills.</li><li>
Ability to prioritize and manage a substantial workload.</li><li>
Ability to analyze and interpret data and report findings succinctly.</li><li>
Demonstrated ability to work both independently and within a multidisciplinary team.</li><li>
Adaptability to work in a fast-paced and rapidly-changing environment.</li><li>
Ability to work weekend, as necessary.</li><li>
Regular, reliable and consistent attendance</li></ul>
Pay Range: $49,163 - $82,311
About JAX:
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit www.jax.org.
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.</div>

Research Assistant III, Diabetes

Thomson Reuters

<div>New Position: This position is open due to an existing vacancy to support our evolving business needs. 
Document understanding is a foundational intelligence layer that powers every major capability across our legal AI platform&mdash;from search and information extraction to agentic reasoning in products like Westlaw, PracticalLaw, and CoCounsel.
 
 
You'll build state-of-the-art semantic chunking, document enrichment, and knowledge graph construction systems that serve as the cognitive foundation multiple product teams depend on, working across authoritative legal, tax and accounting content and extraordinarily diverse customer data.
 
 
This is a rare opportunity to solve publishing-quality research problems with immediate production impact&mdash;your innovations will directly shape how millions of legal professionals research, analyze, and reason over complex legal documents while advancing the capabilities that enable the next generation of intelligent legal AI agents.
About the role
As an Senior Applied Scientist you will: 
<ul><li>Innovate &amp; Deliver: Design, build, test, and deploy end-to-end AI solutions for complex document understanding tasks in the legal domain. Develop advanced models for semantic chunking of lengthy, non-uniformly structured legal documents with adjustable granularity levels for different use cases. Build document enrichment systems that classify documents according to legal and customer-defined taxonomies and extract rich metadata. Create LLM-based knowledge graph construction pipelines that extract and link heterogeneous legal knowledge including citations, entities, and legal concepts across diverse legal content. Develop scalable synthetic data generation systems to support model training, simulate complex legal research queries and generate hallucination-free answers. Work in collaboration with engineering to ensure well-managed software delivery and reliability at scale. 
 
</li><li>Evaluate &amp; Optimize: Develop comprehensive data and evaluation strategies for both component-level and end-to-end quality, leveraging expert human annotation and synthetic data generation. Apply robust training and evaluation methodologies that balance model performance with latency requirements, particularly for SLM-based solutions. Apply knowledge distillation techniques to compress large models into efficient SLMs suitable for production deployment. 
 
</li><li>Drive Technical Decisions: Independently determine appropriate architectures for challenging document understanding problems including: semantic chunking strategies that handle diverse document formats, preserve legal document structure, and adapt to different granularity needs; document classification approaches that work across varying legal taxonomies and generalize to customer-defined schemas; LLM-based knowledge extraction methods that handle challenges like citation recognition errors and contextual references; multi-document reasoning architectures for generating synthetic multi-hop queries that reflect complex legal research patterns. Balance accuracy, efficiency, and scalability while solving real-world challenges like handling diverse document formats and content types. 
 
</li><li>Align &amp; Communicate: Partner closely with Engineering and Product teams to translate complex legal document understanding challenges into scalable, production-ready solutions. Engage stakeholders across multiple product lines to deeply understand use case requirements, shaping objectives that align document understanding capabilities with diverse business needs including next-generation search and deep legal research. 
 
</li><li>Advance the Field : Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research at top venues (e.g., ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD) , and intellectual property. 
</li></ul>About You
<ul><li>PhD in Computer Science, AI, NLP, or a related field, or a Master's with equivalent research/industry experience 
 
</li><li>5+ years of hands-on experience building and deploying document understanding systems, information extraction pipelines, or knowledge graph construction using deep learning, LLMs and NLP methods 
 
</li><li>Proven ability to translate complex document understanding problems into innovative AI applications that balance accuracy and efficiency 
 
</li><li>Professional experience scaling yourself and leading through others, in an applied research setting 
 
</li><li>Strong programming skills (e.g., Python) and experience with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers, DeepSpeed) 
 
</li><li>Publications at relevant venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD 
</li></ul>Technical Qualifications
<ul><li>Deep understanding of document understanding fundamentals: document layout analysis, semantic chunking approaches beyond fixed-size or paragraph-based methods, document classification handling hierarchical taxonomies, imbalanced multi-label classification, and adapting to domain-specific schemas 
 
</li><li>Expertise in knowledge extraction and knowledge graph construction: entity recognition and linking, relation extraction, citation parsing, and building graph representations from unstructured text 
 
</li><li>Expertise in LLM-based information extraction, few-shot and multi-task learning, post-training and knowledge distillation 
 
</li><li>Solid understanding of synthetic data generation techniques for NLP, including query - answer generation with verification and scalable data augmentation for training specialized models 
 
</li><li>Solid understanding of efficiency optimization including knowledge distillation, model compression, and designing SLM-based solutions that balance performance with computational constraints 
 
</li><li>Solid understanding of DL/ML approaches used for NLP tasks 
 
</li><li>Experience designing annotation workflows, creating high-quality labeled datasets with clear guidelines, and developing evaluation frameworks for document understanding tasks 
</li></ul>Preferred Qualifications
<ul><li>Prior work on legal document understanding, legal information extraction, knowledge representation including legal citations and legal domain concepts or legal AI applications 
 
</li><li>Prior work handling complex document structures common in legal documents: non-uniform formatting, nested hierarchies, cross-references, and embedded elements 
 
</li><li>Experience with building systems that perform analysis, question answering or retrieval across large document collections 
 
</li><li>Experience with knowledge graph frameworks and methodologies for legal or enterprise applications 
 
</li><li>Understanding of RAG and agentic workflows for enterprise knowledge 
 
</li><li>Publications at relevant venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD 
 
</li><li>Experience working with AzureML or AWS SageMaker
</li></ul>#LI-LP2
What&rsquo;s in it For You?
<ul><li>Hybrid Work Model: We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
</li><li>Flexibility &amp; Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
</li><li>Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
</li><li>Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
</li><li>Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
</li><li>Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
</li><li>Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
</li></ul>Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role. 
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&amp;D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption &amp; Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.&amp;#xa;&amp;#xa;Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $145,200 USD - $269,600 USD.&amp;#xa;For any eligible US locations, unless otherwise noted, the base compensation range for this role is $126,000 USD - $234,000 USD.&amp;#xa;For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 CAD.&amp;#xa;&amp;#xa;Base pay is positioned within the range based on several factors including an individual&rsquo;s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.&amp;#xa;This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.&amp;#xa;
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com . Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com</div>

Senior Applied Scientist, NLP/GenAI

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is transforming advertising through generative AI technologies. We help millions of customers discover products and engage with brands across Amazon.com and beyond. Our team combines human creativity with artificial intelligence to reinvent the entire advertising lifecycle&mdash;from ad creation and optimization to performance analysis and customer insights. 
 
We develop responsible AI technologies that balance advertiser needs, enhance shopping experiences, and strengthen the marketplace. Our team values innovation and tackles complex challenges that push the boundaries of what's possible with AI. 
 
Join us in shaping the future of advertising. 
 
Key job responsibilities 
This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include: 
 
<ul><li>Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences.</li><li>Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.</li><li>Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts.</li><li>Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor junior scientists and engineers to build a high-performing, collaborative team.</li></ul> 
A day in the life 
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. 
 
About the team 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications</li><li>Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale</li><li>Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)</li><li>Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce</li><li>Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives</li><li>Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Off-Search, Sponsored Products and Brands

Explore 125+ Research scientist in New York United States this January. Find roles across top companies and apply now to boost your career.

125 research scientist jobs IN New York United States

Energy Research Scientist

Energy Research Scientist

Associate Scientist - Endocrinology

Scientist II, Immunology

Research Assistant III, Diabetes

Senior Applied Scientist, NLP/GenAI

Senior Applied Scientist, Off-Search, Sponsored Products and Brands