HOWARD HUGHES MEDICAL INSTITUTE HHMI

HOWARD HUGHES MEDICAL INSTITUTE HHMI

AI Developer

Headquarters, USA

Work authorization requiredDetected 2 hours ago
PythonJavaReactFull-Stack DevelopmentCode ReviewVector DatabasesAWSAzureTerraformCI/CDMachine LearningDeep LearningData EngineeringNLPLLMsAgentic AIMLOpsLangGraphHRISResearchCommunication

About the role

  • Primary Work Address: 4000 Jones Bridge Road, Chevy Chase, MD, 20815 Current HHMI Employees, click here to apply via your Workday account.
  • Our Headquarters is in the greater Washington, DC metro area and is home to over 300 employees with expertise in investments, communications, digital production, biomedical sciences, and everything in between.

Responsibilities

  • HHMI is focused on supporting and moving science forward in a variety of different ways ranging from conducting basic biomedical research, empowering educators, inspiring students, developing the next generation of scientists - even stretching into film and media production.
  • The work housed here supports and augments the groundbreaking research conducted in HHMI labs across the nation.
  • AI Developers design and build the AI systems that actually ship, embedded inside delivery teams alongside engineers, architects, and business partners.
  • The work is hands-on and end-to-end, from co-designing and building AI systems to deploying, instrumenting, and operating them in production.
  • Build production AI systems with the team. Work inside a delivery team alongside engineers, architects, and business partners to ship production AI. The contribution is collaborative and integrated, not delivered in parallel.
  • Treat model selection as a design choice.
  • Build to the team's patterns.
  • 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.
  • This role partners with the data and integration teams on the data and knowledge layer, but does not own the pipelines that feed it.
  • Partner for handoff.

Requirements

  • 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.
  • Ability to articulate trade-offs across techniques (cost, latency, reliability, explainability ) and select the right approach for the problem, not just the most fashionable one.
  • As HHMI scientists continue to push boundaries in laboratories and classrooms, you can be sure that your contributions while working here are making a difference.

Nice to have

  • 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.
  • What this role is not
  • A pure prompt-engineering role.
  • Candidates whose AI experience is limited to the last two years of generative AI will find this role is not the right fit.
  • A data engineering role.
  • A research role.

Compensation

  • Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs.
  • $146,947.20 (minimum) - $183,684.00 (midpoint) - $238,789.20 (maximum)
  • HHMI's salary structure is developed based on relevant job market data.
  • Typically, a new hire for this position in this location is compensated between the minimum and the midpoint of the salary range.

Benefits

  • systems versioned, tested, deployed through CI/CD, and operated under SLAs, with genuine machine learning and deep learning depth built on top.
  • Leave it operable by others, not as a black box tied to one person.
  • Visit our Benefits at HHMI site to learn more.
  • HHMI considers a candidate's education, previous experiences, knowledge, skills and abilities, as well as internal consistency when making job offers.

Company info

  • LLMs are a constant part of the work, but the job is full-stack AI engineering across the broader ML and DL toolkit.
  • Following the field and running real experiments is part of the work, but the primary commitment is shipping production systems that meet business outcomes, not publishing or chasing the state of the art.

Equal opportunity

  • HHMI is an Equal Opportunity Employer

Visa & Work Authorization

  • Please note, we are not able to sponsor a visa for this position at this time.
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This listing is sourced directly from HOWARD HUGHES MEDICAL INSTITUTE HHMI's careers page and normalized into a canonical job model.