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Artificial Intelligence Research Scientist Jobs (NOW HIRING)

RESEARCH SCIENTIST 1 , Computer Science and Artificial Intelligence Lab, will lead computational analyses of large-scale single-cell and spatial multi-omic datasets derived from human postmortem ...

Research Scientist

Cupertino, CA · On-site

$150K - $300K/yr

As a Research Scientist in the team, you will conduct research within a specialized focus area and ... Passion in artificial general intelligence and willingness to do challenging deep research ...

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

As a Research Scientist in the team, you will conduct research within a specialized focus area and ... Privacy Notice to California Employees and Job Applicants We may use artificial intelligence (AI ...

AI Research Scientist

Washington, DC · On-site

$120 - $180/hr

/AI Research Scientist# AI Research ScientistWhatJobs DirectWashington, USFull-time## About the RoleOur client, a cutting-edge research and development firm at the forefront of Artificial Intelligence ...

NY · On-site

$98 - $164/hr

Our Artificial Intelligence (AI) team at GE Vernova's Advanced Research Center is at the heart of ... As a Lead Scientist, you will lead and/or execute on projects to design, develop, and apply ...

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

As a Research Scientist in the team, you will conduct research within a specialized focus area and ... Privacy Notice to California Employees and Job Applicants We may use artificial intelligence (AI ...

$150 - $190/hr

D. or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related quantitative field. * Minimum of 5 years of hands-on research experience in NLP and machine learning.

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Artificial Intelligence Research Scientist information

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$50.5K

$130.1K

$174K

How much do artificial intelligence research scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for artificial intelligence research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does an artificial intelligence research scientist do?

An Artificial Intelligence Research Scientist develops and improves AI models, algorithms, and systems to solve complex problems. They conduct research, experiment with new techniques, publish findings, and collaborate with engineers to implement AI solutions. Their work often involves deep learning, machine learning, computer vision, or natural language processing. They utilize large datasets, computational frameworks, and theoretical knowledge to advance AI capabilities.

What does a typical day look like for an artificial intelligence research scientist?

A typical day for an Artificial Intelligence Research Scientist involves designing and running experiments to test new machine learning models or algorithms, analyzing large datasets for insights, and collaborating closely with engineers and other researchers. You may also spend time reading the latest scientific papers, preparing findings for publication or presentations, and mentoring junior team members. Work environments are often highly collaborative, balancing independent research with frequent team discussions to brainstorm innovative solutions. Over time, researchers can progress into leadership roles, direct research teams, or drive projects that shape an organization’s AI strategy.

What are the key skills and qualifications needed to thrive as an artificial intelligence research scientist?

To thrive as an Artificial Intelligence Research Scientist, you typically need an advanced degree in computer science, mathematics, or a related field, combined with strong knowledge of machine learning, programming (often Python, C++, or Java), and data analysis techniques. Mastery of technical tools like TensorFlow, PyTorch, scikit-learn, and familiarity with cloud computing platforms or relevant certifications are often required. Excellent problem-solving abilities, creativity, and strong communication skills help you excel in interdisciplinary teams and present complex findings effectively. These skills are critical for driving innovative research, developing robust AI solutions, and collaborating effectively in fast-changing technology environments.

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Infographic showing various Artificial Intelligence Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Artificial Intelligence Research Lead - Vice President

JPMorgan Chase & Co.

Manhattan, NY • On-site

$171K - $260K/yr

Full-time

Medical, Retirement

Re-posted 29 days ago


Key responsibilities

  • Work on multiple research projects in collaboration with data scientists, engineering teams, and stakeholders to develop AI solutions.

  • Formulate problems, develop algorithms and models, conduct experiments, evaluate results, and deliver high-quality code.

  • Lead projects or major workstreams, ensuring solutions are technically sound, generalizable, and meet business requirements.


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description


JPMorganChase AI Research is a global team of research scientists, engineers and product managers that develops novel AI capabilities and partners across the firm to translate breakthrough AI/ML techniques into deployed solutions. The team brings together researchers across multi-agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification, and synthetic data generation - alongside experts in trustworthy AI, privacy, and cryptography - to solve hard problems end-to-end in ways that are secure, reliable, and scalable in financial services.
AI Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the firm'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 a Vice President / Research Lead in AI Research, you will work on developing novel techniques, tools, and frameworks to model and solve complex large-scale problems in the bank. You will develop a close understanding of the challenges in practical applications of AI and leverage that understanding to formulate new research directions and solutions that can shift the frontier. Your work will span from early-stage innovation and rigorous evaluation to production-scale delivery in close collaboration with engineering and product teams.
Job responsibilities
  • Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses e.g. Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc.
  • Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments and rigorous evaluations, synthesize and communicate results, and deliver well-tested, high-quality code.
  • Contribute to high-impact business applications, reusable assets and products, and research initiatives.
  • Provide thought leadership on internal and external forums through white papers, publications and presentations.
  • Lead projects or major workstreams in larger projects/initiatives. Play a key role in ensuring that problem definitions and solutions are technically sound, generalizable and capture business/product requirements.
  • Proactively identify and propose new research initiatives motivated by long-term business needs.

Required qualifications, capabilities, and skills
  • PhD in Computer Science, Engineering, or related fields with relevant research experience in AI/ML and 2+ years of relevant work experience
  • Research publications in top-tier AI/ML venues (e.g., conferences, journals) - broad conferences such as NeurIPS, ICML, ICLR, etc., or highly regarded specialized conferences such as ICAPS, CRYPTO, etc.
  • Deep understanding of fundamental AI/ML techniques and a strong grasp of current state of the art in specific areas of expertise. Practical experience with statistical data analysis, experimental design and creation of meaningful benchmarks and metrics for evaluation.
  • Effective verbal and written communication skills with the ability to address both technical and business audiences.
  • Practical software development experience in collaborative project settings such as open-source projects or industry experience. Ability to deliver modular, optimized, high-quality Python code with tests.
  • Experience leading and mentoring AI researchers, partnering with engineering and business stakeholders to drive execution and strategic planning across near-term deliveries and longer-horizon research initiatives.
  • Demonstrated ability to translate research into real-world impact e.g., production-ready solutions, prototypes/pilots, reusable components, reference architectures, or standards.
  • Strong track record of research in one of the following areas: (a) Synthetic Data Generation across multiple modalities (tabular, images, time-series, etc.), synthetic personas and agent simulations, (b) Multimodal information discovery, understanding, research and analysis spanning multiple modalities e.g. websites, news, documents, structured data, images, etc., (c) Multimodal processing and predictive modeling, including input modalities like speech, audio, structured data, text, images.

Preferred qualifications, capabilities, and skills
  • (Depending on specialization) Practical experience with ML libraries (e.g. PyTorch, TensorFlow/Keras, HuggingFace Transformers etc.), agent frameworks (e.g. LangGraph, Google ADK, etc.), common formal verification tools and languages (e.g., Coq/Isabelle/Lean, TLA+, Alloy, Z3, PDDL).

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About Us
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
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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