Software Engineer III-Machine Learning Engineer at JPMC Candidate Experience page

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Feb, 26

Salary

0.0

Posted On

23 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Cloud Technology, Software Engineering, Generative AI, TensorFlow, PyTorch, JAX, Scikit-learn, Ray, Spark, AWS, Azure, GCP, Prompt Engineering, Open-source, High Performance Computing

Industry

Financial Services

Description

As a Software Engineer III/ML Engineer, you have an opportunity to be part of team to build, launch and scale an AI/ML platform for the firm As a Software Engineer III/ML Engineer, you have the chance to shape the future of AI/ML at a global financial services leader. Join our AIML Technology team to build and scale advanced machine learning platforms, integrating cutting-edge technologies like Generative AI. Collaborate with top talent, mentor engineers, and make a real impact in a fast-paced, innovative environment. If you’re passionate about building secure, scalable AI/ML solutions, we want to hear from you! As a Software Engineer III - Machine Learning Engineer at JPMorgan Chase within the Corporate Sector- AMDP Data Platforms , you will play a crucial role in an agile team. Your responsibilities will include enhancing, developing, and delivering a company-wide AI/ML/Data Platform in a secure, stable, and scalable manner. As a technical contributor, your duties will encompass the architecture, design, and construction of AI/ML related capabilities using cloud technology. You will have the opportunity to work with both traditional AI/ML and Generative AI. Job responsibilities Architects and implements distributed ML infrastructure, including inference, training, scheduling, orchestration, and storage. Develops advanced monitoring and management tools for high reliability and scalability. Optimizes system performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product teams to deliver tailored, technology-driven solutions. Drives the adoption and execution of ML Platform tools across various teams. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience. Extensive hands-on experience with ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn, Ray or Spark). Extensive experience with a Public Cloud provider (AWS, Azure, GCP) and addressing non-functional requirements such as scalability and cross-region resiliency. Strong coding skills and experience in developing large-scale ML systems and ensuring Software Best Practices. Experience with prompt engineering and interacting with various LLM vendors and models. Proven track record in contributing to and optimizing open-source ML frameworks. Strategic thinker with the ability to craft and drive a technical vision for maximum business impact. Demonstrated leadership in working effectively with engineers, data scientists, and ML practitioners. Proven ability to identify trade-offs, clarify project ambiguities, and drive decision-making. Preferred qualifications, capabilities, and skills Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems. 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.

Responsibilities

You will enhance, develop, and deliver a company-wide AI/ML/Data Platform in a secure, stable, and scalable manner. Your role will involve architecting and implementing distributed ML infrastructure and collaborating with product teams to deliver tailored solutions.