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Artificial Intelligence Research Engineer Jobs (NOW HIRING)

NY · On-site

$100 - $125/hr

Representing virtually every major scientific and engineering discipline, our researchers are ... Our Artificial Intelligence (AI) team at GE Vernova's Advanced Research Center is at the heart of ...

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Artificial Intelligence Research Engineer information

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

As of Sep 10, 2026, the average yearly pay for artificial intelligence research engineer in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is an artificial intelligence research engineer?

Artificial Intelligence (AI) Research Engineers are professionals who design, develop, and implement cutting-edge AI algorithms and models. They work at the intersection of computer science, mathematics, and data science to solve complex problems using machine learning, deep learning, and other AI technologies. Their responsibilities often include researching new AI techniques, publishing findings, and collaborating with cross-functional teams to turn theoretical advancements into practical applications. These engineers play a crucial role in driving innovation across industries such as healthcare, finance, and robotics.

What are some common challenges artificial intelligence research engineers face when transitioning from academic research to industry roles?

Artificial Intelligence Research Engineers often find that moving from academic research to industry requires adapting to faster development cycles and a stronger focus on practical, scalable solutions. In industry, there's typically a greater emphasis on collaboration with cross-functional teams, integrating research into real-world products, and aligning work with business goals. Balancing innovative research with production deadlines can be challenging but also offers opportunities to see your ideas make tangible impact. Building strong communication skills and learning to prioritize projects are key to thriving in this environment.

What are the key skills and qualifications needed to thrive as an artificial intelligence research engineer, and why are they important?

To thrive as an Artificial Intelligence Research Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by an advanced degree in a related field. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with cloud computing platforms are essential technical qualifications. Critical thinking, creativity, and effective communication are standout soft skills for this role. These abilities are crucial for developing innovative AI solutions, collaborating with interdisciplinary teams, and advancing research in a rapidly evolving field.

What are popular job titles related to Artificial Intelligence Research Engineer jobs?

For Artificial Intelligence Research Engineer jobs, the most frequently searched job titles are:

Infographic showing various Artificial Intelligence Research Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Artificial Intelligence Research - Senior Associate

Manhattan, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

$137K - $195K/yr

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


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 176 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 Senior Associate 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.

Required qualifications, capabilities, and skills
  • PhD or MS in Computer science, Engineering, or related fields with relevant research experience in AI/ML or 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.
  • Ability to deliver modular, optimized, high-quality Python code with tests
  • 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.
  • Motivated to make an impact on problems in the financial services domain.
  • Curiosity, creativity, resourcefulness, and a collaborative spirit
  • 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) Hybrid agent architectures including LLMs and AI planning, formal logic, solvers and neuro-symbolic approaches (c) Multimodal information discovery, deep research and analysis spanning multiple modalities e.g. websites, news, documents, structured data, images, audio, etc. (d) Foundation model training for structured data modalities e.g. tabular, graph, time-series (e) Reinforcement Learning, continual learning for agents, model post-training and test-time adaptation. (f) Advanced multi-agent systems including co-ordination, negotiation and mechanism design.

Preferred qualifications, capabilities, and skills
  • (Depending on specialization) Practical experience with ML libraries (e.g. PyTorch, TensorFlow/Keras, HuggingFace Transformers etc.) and agent frameworks (e.g. LangGraph, Google ADK, etc.), familiarity with common formal verification tools and languages (e.g., Coq/Isabelle/Lean, TLA+, Alloy, Z3, PDDL)
  • Practical software development experience in collaborative project settings such as open-source projects or industry experience.
  • Proven ability to translate business requirements into technical problem formations and deliver novel solutions into production.

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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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