AI/ML Platform Engineer: Build Production-Ready AI Systems

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 85,000 - 195,000; Full time

Benefits offered by this job

Education assistance

Retirement contributions

Work/life balance

Job summary

The Johns Hopkins Applied Physics Lab is seeking an AI/ML Platform Engineer to work on cutting-edge machine learning solutions. This role requires a Bachelor's degree in a related field and at least 2 years of experience. You will design multi-agent systems, fine-tune LLMs, and contribute to the wider mission of critical defense solutions. The position offers a competitive salary of $85,000 to $195,000 annually, comprehensive benefits, and an inclusive work culture.

Qualifications

• Bachelor’s degree in Math, Computer Science, Electrical Engineering or related field.
• 2+ years of experience in software engineering, machine learning, or relevant fields.
• Experience building production or production-adjacent LLM-powered systems.
• Strong proficiency in Python and ML stack (NumPy, pandas).
• Hands-on experience with LangChain and/or LangGraph.

Responsibilities

• Design and build multi-agent systems using modern open-source frameworks.
• Fine-tune LLMs for specific applications and evaluate results.
• Research and prototype ML algorithms for production tasks.

Skills

Python

Machine Learning

Data Science

Software Engineering

LangChain

LangGraph

Education

Bachelor's degree in Math or Computer Science

Master's or Ph.D. in related field

Tools

Docker

Podman

PyTorch

Job description

The Johns Hopkins Applied Physics Lab is seeking an AI/ML Platform Engineer to work on cutting-edge machine learning solutions. This role requires a Bachelor's degree in a related field and at least 2 years of experience. You will design multi-agent systems, fine-tune LLMs, and contribute to the wider mission of critical defense solutions. The position offers a competitive salary of $85,000 to $195,000 annually, comprehensive benefits, and an inclusive work culture.