Machine Learning Scientist jobs in United States
cer-icon
Apply on Employer Site
company-logo

JPMorganChase · 10 hours ago

Machine Learning Scientist

JPMorganChase is an elite machine learning group strategically located within the Chief Technology Office. As a Machine Learning Scientist, you will apply sophisticated machine learning methods to complex tasks and collaborate with various teams to deploy solutions that support the bank's growth in critical areas.

Asset ManagementBankingFinancial Services
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation
Develop state-of-the-art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure
Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production
Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Contribute to reusable code and components that are shared internally and also externally

Qualification

Machine LearningDeep LearningLarge Language ModelsTensorFlowPyTorchData ScienceBig DataScientific ThinkingCuriosityCommunication SkillsTeam Collaboration

Required

PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 1 year experience Or Masters with 2 years of industry or research experience in the field
Hands-on experience and solid understanding of machine learning and deep learning methods
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning)
Scientific thinking and the ability to invent
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
Experience with big data and scalable model training
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
Curious, hardworking and detail-oriented, and motivated by complex analytical problems
Ability to work both independently and in highly collaborative team environments

Preferred

Strong background in Mathematics and Statistics
Familiarity with the financial services industries
Experience with A/B experimentation and data/metric-driven product development
Experience with cloud-native deployment in a large scale distributed environment
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
Ability to develop and debug production-quality code
Familiarity with continuous integration models and unit test development

Benefits

Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Company

JPMorganChase

company-logo
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

H1B Sponsorship

JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)

Funding

Current Stage
Public Company
Total Funding
unknown
1998-02-01IPO

Leadership Team

leader-logo
Allison Beer
CEO of Card Services and Connected Commerce
linkedin
leader-logo
Dan Mendelson
CEO, Morgan Health
linkedin
Company data provided by crunchbase