Applied AI ML Researcher Lead

J.p. Morgan's Commercial & Investment Bank
Jersey City, NJ, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Distributed Systems Machine Learning Tensorflow Software Engineering Multi-Agent Systems Generative AI Information Technology Free and Open-Source Software Machine Learning Operations
+1 more
Programming Languages

Job description

Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.

As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within the Applied AI Research team in Commercial and Investment Banking, you will help build autonomous agent systems that can reason, plan, act, and learn to solve high-impact business problems. You will bridge cutting-edge research and enterprise-grade delivery, shaping how applied AI is designed, evaluated, and deployed at scale. You will partner closely with business and technology stakeholders to translate priority needs into measurable outcomes, while raising engineering and scientific standards across the team., * Architect and deliver generative artificial intelligence and agent-based solutions that automate complex operational workflows end-to-end

  • Translate priority business problems into research and engineering plans, success metrics, and scalable solution designs
  • Build multi-agent systems that collaborate reliably, coordinate tasks, and improve over time through feedback and evaluation
  • Design reusable services, libraries, and reference architectures that accelerate adoption across applied AI teams
  • Establish rigorous experimentation practices, including offline/online evaluation, ablation testing, and error analysis, to drive measurable improvements
  • Mentor and develop applied AI engineers and researchers, fostering a culture of scientific rigor, ownership, and continuous learning
  • Partner with stakeholders across business and technology teams to scale solutions responsibly, balancing performance, reliability, and security

Requirements

  • Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
  • Advanced degree (Master’s or Doctorate) in Computer Science, Machine Learning, Statistics, or a related quantitative field
  • Demonstrated experience designing experiments and evaluations for machine learning systems, including clear metrics and reproducible results
  • Proven track record deploying machine learning applications into production environments with operational excellence (monitoring, reliability, and lifecycle management)
  • Strong software engineering skills in modern programming languages and machine learning frameworks, with experience building reusable components
  • Experience with distributed computing patterns for training and serving, and with state management for agent workflows
  • Ability to lead through influence across cross-functional teams, translating complex technical topics for varied audiences

Preferred Qualifications, Capabilities, and Skills

  • Experience building and evaluating autonomous agent systems (planning, tool-use, orchestration, and multi-agent coordination)
  • Experience with cloud-based machine learning platforms, such as Amazon Web Services (AWS) SageMaker or Amazon Bedrock
  • Publications, open-source contributions, or other evidence of applied research impact in machine learning or generative artificial intelligence
  • Familiarity with financial services domains and operational processes, including risk-aware design and production constraints

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role., JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management., J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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