Job Overview
Be an integral part of an agile team that constantly pushes the envelope to enhance, build, and deliver top‑notch technology products. As a Senior Machine Learning and Generative AI Engineer in Public Cloud Engineering at JPMorgan Chase, you will lead the architecture, development, and production deployment of ML and LLM‑powered solutions, applying rigorous experimentation and responsible AI methods to deliver high‑impact capabilities across a global multidisciplinary team.
Job Responsibilities
- Design and implement end‑to‑end ML and LLM solutions, from problem framing and data preparation through training, evaluation, deployment and ongoing optimization.
- Apply modern GenAI workflows, including prompt engineering techniques, tracing, evaluations, guardrails and safety frameworks to align model behavior with business objectives and risk controls.
- Productionize high‑quality models and pipelines on public clouds, leveraging Kubernetes for container orchestration where appropriate.
- Establish robust offline and online evaluation methodologies, including intrinsic and extrinsic metrics (e.g., relevance, safety, latency, cost efficiency), and integrate automated testing and monitoring.
- Collaborate closely with product, platform, security, controls and business stakeholders across a geographically distributed organization; provide technical mentorship and code reviews.
- Document solution designs and decisions; contribute to reusable components, patterns and best practices for ML/GenAI in public cloud environments.
- Optimize for cost, performance and resilience; incorporate data privacy, compliance and responsible AI considerations throughout the lifecycle.
Required Qualifications, Capabilities, and Skills
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- MS or PhD in Computer Science, Data Science, Statistics, Mathematical Sciences or Machine Learning; strong background in mathematics and statistics.
- Extensive expertise applying data science and ML to business problems with strong programming in Python and/or Java.
- Hands‑on experience with GenAI/LLMs (e.g., GPT, Claude, Llama or similar), including prompt engineering, tracing, evaluations and guardrails.
- Solid background in NLP and Generative AI; strong understanding of ML and deep learning methods and large models.
- Extensive experience with ML/DL toolkits and libraries (e.g., Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, scikit‑learn, pandas).
- Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders.
- Experience designing experiments, training frameworks and metrics aligned to business goals.
- Expertise with at least one major public cloud (AWS, GCP or Azure) and experience with containerization/orchestration (Docker/Kubernetes).
- Strong grounding in data structures, algorithms, ML, data mining, information retrieval and statistics.
- Excellent communication skills, with the ability to engage senior technical and business partners.
Additional Qualifications, Capabilities, and Skills
- Depth in one or more: Natural Language Processing, Reinforcement Learning, Ranking/Recommendation or Time Series Analysis.
- Additional familiarity with ML frameworks (e.g., PyTorch, Keras, MXNet, scikit‑learn).
- Understanding of financial services or wealth management domains.
- Desirable: Contributions to open‑source ML/LLM tooling; certifications in AWS, Azure, GCP or Kubernetes.
Compensation and Benefits
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.
Equal Opportunity Employment
We recognize that our people are our strength and the diverse talents that they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity. We do not discriminate on the basis of any protected attribute, including race, color, religion, sex (including pregnancy, gender identity or sexual orientation), national origin, age, disability, veteran status or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious or cultural beliefs, as well as mental health or physical needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Veterans.
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