AI Algorithms Research Scientist-Vice President
JPMorgan Chase · New York City
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area? This is a unique opportunity for you to work with the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co. The goal of GTAR is to design and conduct research across multiple frontier technologies, in order to enable novel discoveries and inventions, and to inform and develop next-generation solutions for the firm's clients and businesses.
As an AI Algorithms Research Scientist, Vice President, within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will advance the algorithmic foundations of modern AI — the methods that determine how efficiently large language models and agentic systems learn, reason, and run at scale. You will develop novel algorithms and establish their theoretical foundations, implement them in performant software, provide novel research solutions to problems faced by internal project teams, and contribute to JPMC's IP by pursuing necessary protections of generated IP.
Job Responsibilities
- Advance the algorithmic foundations of large-scale AI and their applications to model training, inference, and agentic systems.
- Develop novel algorithms that improve the accuracy, latency, and compute cost of large language model and agentic workloads.
- Establish the theoretical grounding of the methods you develop, including convergence, approximation quality, and sample- and compute-efficiency.
- Implement the developed algorithms in performant software and validate them at scale.
- Provide novel research solutions to problems faced by internal project teams.
- Work with other researchers to document your findings in scientific papers and present them at conferences.
- Contribute to JPMC's IP by pursuing necessary protections of generated IP.
Required qualifications, capabilities, and skills
- Ph.D. degree in computer science, mathematics, physics, electrical engineering, statistics, or related fields, with at least 2 years of experience (industry or postdoc).
- Demonstrated research ability in AI/ML algorithms, optimization, or theory.
- A deep foundation in optimization, probability, linear algebra, and learning theory. and experience in scientific technical writing.
- Proficiency in Python, and C/C++ or CUDA for performance-critical work.
- Experience developing performant codes.
- Strong communication skills and the ability to present findings to a non-technical audience.
- Experience in one or more of the following domains:
- Efficient learning and inference (e.g., quantization and low precision, sparsity and pruning, distillation, low-rank and structured approximations, speculative decoding, KV-cache optimization)
- Optimization (e.g., stochastic and second-order methods, optimizer and preconditioner design, training dynamics)
- Foundations of scale (e.g., scaling laws, compute-optimal training, stability of large-model training)
- Hardware–algorithm co-design (e.g., algorithms designed around accelerator memory hierarchy, bandwidth, and numerical precision)
Preferred qualifications, capabilities, and skills
- Preference is given to candidates with a strong publication record (example venues include but are not limited to NeurIPS, ICML, ICLR, COLT, STOC, FOCS, ISCA, HPCA).
- Experience with GPU/accelerator programming and profiling (e.g., CUDA, Triton, Nsight).
- Contributions to open-source ML systems, libraries, or performance-critical code.
- No prior familiarity with finance or financial use cases is required.
- Preference given to candidates who include a link to their Google Scholar or Semantic Scholar profile in their resume.
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
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