Senior Associate - Machine Learning Engineer
JPMorgan Chase1 day 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 problem framing through production.
- Build agentic AI workflows and applications using multi-step reasoning, tool or function calling, orchestration, and LLM-based agents.
- Build and maintain scalable ML and agentic infrastructure and pipelines using production software engineering practices.
- Apply machine learning, deep learning, generative AI/LLMs, and statistical modeling to pricing, marketing, campaign targeting, personalization, and customer analytics.
- Contribute to technical standards, reproducibility, engineering excellence, and responsible AI/ML practices.
- Collaborate with data scientists, engineers, product teams, business stakeholders, and other partners; participate in code reviews and knowledge sharing.
- Support mentoring of junior or intern staff as appropriate.
- Communicate technical trade-offs, findings, and results to technical and non-technical audiences.
- Apply model validation, governance, monitoring, and risk-management frameworks to production models and agents.
Requirements
- Typically 4+ years of experience building, deploying, and scaling machine learning and AI systems in production environments.
- 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, and statistical modeling.
- Strong software engineering expertise, including Python, software design principles, 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.
- Ability to own and deliver technical projects, collaborate effectively, solve problems independently, and work in ambiguous real-world settings.
- Preferred: experience with advanced agentic AI platforms, multi-agent systems, or retrieval-augmented generation applications at scale.
- Preferred: experience applying AI/ML to pricing, marketing, campaign targeting, personalization, or customer analytics.
- Preferred: understanding of causal inference and causal ML methods such as meta-learners, uplift models, causal forests, or double machine learning.
- Preferred: PhD or master’s degree in Statistics, Computer Science, Economics, Econometrics, or a related quantitative field.
Benefits
- Competitive total rewards package with benefits determined by eligibility, role, experience, skill set, and location.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may include discretionary incentive compensation in cash or forfeitable equity.
- Equal opportunity employer offering reasonable accommodations for religious practices, mental health needs, and disabilities.
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.