AI Developer

Job Overview

Primary Work Address: 4000 Jones Bridge Road, Chevy Chase, MD 20815.

• Build production AI systems with the team, working inside a delivery team alongside engineers, architects, and business partners.
• Co‑design AI systems, select algorithms as design choices, and defend model selection across techniques (LLMs, gradient‑boosted trees, logistic regression, etc.).
• Apply software engineering best practices: versioning, testing, code review, CI/CD, infrastructure as code, observability, cost controls, and operational ownership.
• Design evaluation methodology (precision, recall, calibration, drift, business outcome metrics, A/B tests) before production deployment.
• Own deployment and operations, including automation of releases, monitoring, runbooks, and on‑call responsibilities.
• Document and hand off systems to vertical teams, ensuring operational continuity and knowledge transfer.
• Communicate model and engineering trade‑offs to business stakeholders and engineering peers.

• Enterprise product engineering background with proven experience building and shipping production enterprise systems.
• At least two years of production machine learning or deep learning experience beyond generative AI.
• Strong proficiency in Java and Python.
• Familiarity with agentic AI frameworks such as Lang Graph or Strands.
• Experience designing evaluation methodology for production ML systems, running A/B tests, and applying statistical inference.
• Fluency with infrastructure‑as‑code tools (Terraform or comparable), container orchestration, CI/CD, and deployment automation.
• Cloud‑agnostic mindset: ability to design systems that are not tied to a single cloud provider and move fluidly across AWS, Azure, and GCP.
• Self‑mandated degrees:
  Bachelor’s degree or equivalent; at least six years of hands‑on software engineering experience, with at least three years building and shipping production ML or DL systems.

• Familiarity with front‑end frameworks (React or comparable) for building end‑to‑end user‑facing AI features.
• Production experience with vector databases, retrieval systems, or knowledge graphs.
• Familiarity with MLOps tooling: model registries, feature stores, training pipeline orchestration.
• Prior experience in research, academic, or mission‑driven institutional environments.

This role is not a pure prompt‑engineering role, a data engineering role, a research role focused on publishing, or a role for early‑career engineers. It requires comprehensive production experience across software engineering, machine learning, deep learning, and cloud‑native infrastructure.

• Location:
  
  HHMI Headquarters, Chevy Chase, MD (hybrid schedule).
• Schedule:
  
  Hybrid.
• Education:
  
  Bachelor’s degree or equivalent.
• Experience:
  
  Minimum six years of software engineering experience; at least three years of building and shipping production ML or DL systems.
• Visa:
  Eligibility to work in the United States; sponsorship not available at this time.

• Pay Range: $ (minimum) – $ (midpoint) – $ (maximum) per year.
• Pay Type:
  
  Annual.
• Benefits include competitive pay, health benefits, retirement plans, time off, and wellness programs.

HHMI is an Equal Opportunity Employer. We use E-Verify to confirm the identity and employment eligibility of all new hires.

Contact recruiting support if you require an accommodation related to completing the job application.