Applied AI and Machine Learning Lead
JPMorgan Chase2 days ago
Base Salary
$171k - $260k/yr
Responsibilities
- Lead generative AI and agentic AI initiatives from problem framing and experimentation through production release and measurable adoption.
- Design and evaluate foundation-model approaches, including model selection, fine-tuning, retrieval and context design, and safety controls.
- Establish evaluations covering quality, robustness, latency, cost, and risk, and convert findings into recommendations and roadmaps.
- Build and operate production-grade machine learning and generative AI services with monitoring, reliability, and incident-ready controls.
- Define semantic modeling standards and lifecycle governance and implement integration patterns across data pipelines, application interfaces, and user experiences.
- Partner with product, engineering, risk, and business stakeholders to define success metrics, manage trade-offs, and deliver prioritized outcomes.
- Mentor and develop engineers and data scientists through technical leadership, reviews, and coaching.
- Communicate complex technical concepts clearly to technical and non-technical audiences.
Requirements
- A master’s degree in computer science, engineering, statistics, or a related quantitative discipline is required.
- At least 7 years of applied experience building and deploying machine learning and generative AI solutions in production environments is required.
- Strong proficiency in Python and modern machine learning frameworks such as PyTorch is required.
- Experience leading experimentation and evaluation, including defining metrics, running controlled comparisons, and documenting results, is required.
- Experience deploying and operating production models, including performance optimization, monitoring, and reliability trade-offs, is required.
- Working knowledge of responsible AI, model risk, and governance controls for regulated environments is required.
- Strong software engineering fundamentals, including version control, code review, testing, and maintainable design, are required.
- Proven ability to partner across product, engineering, and business stakeholders to translate ambiguous needs into outcomes and delivery plans is required.
- Preferred qualifications include a PhD or demonstrated applied research impact, publications, patents, or open-source contributions.
- Preferred experience includes transformer architectures, large-scale training or fine-tuning, GPU-enabled workflows, agentic AI systems, semantic modeling or ontologies, and AI applications in regulated industries.
Benefits
- Competitive total rewards package with benefits determined by eligibility, role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Benefits include comprehensive health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.