AI Developer

What We Are Looking For

• Enterprise product engineering background.
• Proven experience building and shipping production enterprise systems, with a deep understanding of what production-grade engineering looks like at institutional scale: versioning, code review, release management, deprecation, and operational ownership.
• Real machine learning and deep learning depth.
• Hands-on experience building and shipping systems using classical ML (gradient boosting, regression, clustering, tree-based methods, dimensionality reduction) and modern deep learning, with solid grounding in the relevant terminology, mathematics, and evaluation methods.
• Strong proficiency in Java and Python is required.
• This role requires at least two years of production ML or DL experience beyond generative AI, as well as familiarity with agentic AI frameworks such as LangGraph or Strands.

What You Will Actually Do

• Build production AI systems with the team.
• Work inside a delivery team alongside engineers, architects, and business partners to ship production AI.
• Pick the right algorithm for the problem.
• Treat model selection as a design choice.
• Build to the team’s patterns.
• Evaluate before you ship.
• Measure what matters and operate to it.
• Own deployment and operations.
• CI/CD, infrastructure as code, observability, cost.
• Code does not go over a wall.
• Production is designed for from the first commit, with enough proximity to the running system to debug it when something goes wrong.
• Partner for handoff.
• Translate model and engineering trade-offs for business stakeholders, and explain the same decisions to engineering peers.

Why This Role Matters

The EverydayAI Accelerator exists to change how HHMI operates, and that change only happens when AI systems actually ship. HHMI has no shortage of ideas. What it needs are engineers who can turn them into working systems. This role sits at the center of that work: building the production systems every Accelerator project depends on, taking a real business problem, selecting the right approach, writing the code, and operating what gets built.

Compensation And Benefits

• Pay Type: Annual
• Compensation Range: $146,947.20 (minimum) - $183,684.00 (midpoint) - $238,789.20 (maximum)
• Benefits: visit our Benefits at HHMI site to learn more.

Practical Details

• Based at HHMI Headquarters with a hybrid schedule.
• Requires a bachelor’s degree or equivalent, plus at least six years of hands-on software engineering experience, with at least three years building and shipping production machine learning or deep learning systems.
• Proficiency in Java and Python is required, along with familiarity with agentic AI frameworks such as LangGraph or Strands.