Chase · 8 hours ago
Applied AI ML Lead Engineer
545 Washington Blvd, Jersey City, NJ, 07310, US
Full-time
Onsite
Lead/Staff, Director/Executive
$164K/yr - $260K/yr
8+ years expJPMorgan Chase is a leading financial institution seeking an Applied AI ML Lead Engineer to join their Chief Administrative Office. In this role, you will lead the development and deployment of innovative AI and machine learning solutions, collaborating with cross-functional teams to drive adoption of modern ML practices and ensure responsible AI governance.
BankingFinancial Services
Responsibilities
Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions
Serve as a subject matter expert on a wide range of machine learning techniques and optimizations
Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems
Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance
Own end-to-end code development in Python for both proof-of-concept and production-ready solutions
Integrate generative AI within the ML platform using state-of-the-art techniques
Drive adoption of modern ML infrastructure, tools, and best practices
Optimize system accuracy and performance by identifying and resolving inefficiencies
Communicate technical concepts and results to both technical and business stakeholders
Ensure responsible AI practices, model governance, and compliance with regulatory standards
Mentor and guide other AI engineers and scientists, fostering a culture of continuous learning
Qualification
Required
Master's or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field
Minimum 8 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models
At least 5 years of experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow
Proven experience designing, training, and deploying large-scale ML/AI models in production environments
Deep understanding of prompt engineering, agentic workflows, and orchestration frameworks
Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm)
Solid grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML)
Strong communication skills with the ability to explain complex technical concepts to diverse audiences
Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners
Experience applying data science and ML techniques to solve business problems
Passion for detail, follow-through, and technical excellence
Preferred
Experience with high-performance computing and GPU infrastructure (e.g., NVIDIA DCGM, Triton Inference)
Familiarity with big data processing tools and cloud data services
Advanced knowledge in reinforcement learning, meta learning, or related advanced ML areas
Experience with search/ranking, recommender systems, or graph techniques
Background in financial services or regulated industries
Experience with building and deploying ML models on cloud platforms such as AWS Sagemaker, EKS, etc
Published research or contributions to open-source GenAI/LLM projects
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
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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