Senior Associate - Machine Learning Engineer
JPMorgan Chase9 hours ago
Jersey City, NJ, USAMid Level
H1B sponsor
Base Salary
$138k - $195k/yr
Responsibilities
- Design, develop, deploy, monitor, and continuously improve AI/ML and agentic AI systems from experimentation through production.
- Build agentic AI workflows and applications using LLM-based agents, tool or function calling, multi-step reasoning, and orchestration.
- Develop scalable ML and agentic infrastructure and pipelines using production-grade software engineering practices.
- Apply machine learning, deep learning, generative AI/LLMs, and statistical modeling to pricing, marketing, targeting, personalization, and customer analytics.
- Contribute to technical standards, reproducibility, responsible AI/ML practices, model validation, governance, monitoring, and risk management.
- Collaborate with data scientists, engineers, product teams, and business stakeholders; participate in code reviews, knowledge sharing, and mentoring.
- Own technical projects and communicate technical trade-offs, findings, and results to technical and non-technical audiences.
Requirements
- Typically 4+ years of experience building, deploying, and scaling machine learning and AI systems in production.
- Hands-on experience developing agentic AI systems, including LLM-based agents, tool or function calling, multi-step reasoning, orchestration frameworks, and AI-assisted analytical workflows.
- Broad expertise in machine learning, deep learning, generative AI/LLMs, statistical modeling, and machine learning engineering.
- Strong Python and production software engineering skills, including software design, testing, version control, CI/CD, and production-grade code development.
- Experience with ML frameworks, model pipelines, feature stores, orchestration, and MLOps tooling.
- Strong quantitative training in Statistics, Data Science, Computer Science, Economics, Applied Mathematics, Operations Research, or a related field.
- Experience with model validation, diagnostic testing, and interpretation of model performance.
- Demonstrated ability to own technical projects, solve ambiguous problems independently, and collaborate effectively.
- Excellent communication skills for explaining complex technical findings to technical and non-technical audiences.
- Preferred experience includes advanced agentic AI platforms, multi-agent systems, RAG applications, and AI/ML applications in pricing, marketing, targeting, personalization, or customer analytics.
- Understanding of causal inference and causal ML methods such as meta-learners, uplift models, causal forests, or double machine learning is preferred.
- A PhD or Master's degree in a quantitative field is preferred.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skills, and location; eligible roles may also receive commission-based pay or discretionary incentive compensation.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Additional compensation and benefits details are provided during the hiring process.
Tech Stack
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.