ML Research Scientist (AI)

Location: Cambridge, MA, USA; London, UK; San Francisco, CA, USA. Other locations: Alewife, Cambridge, MA; San Francisco, CA.

Expected base salary range: $176,000–$304,000 USD annually for U.S.-based positions. International salaries are set to local market.

Company

hirify.global builds AI and automation systems for scientific discovery, combining advanced AI models with proprietary scientific instruments to automate the scientific method across medicine, materials, and energy.

What you will do

• Design and prototype evaluations and environments for scientific workflows, identifying environment failures and model capability gaps.
• Invent reinforcement learning environments by converting scientific workflows, simulators, and real-world tasks into training signals.
• Build end-to-end pipelines that transform papers, codebases, and laboratory protocols into validated and versioned synthetic training environments.
• Prototype environment designs from initial concept through reward shaping, data collection, and integration with model-training loops.

Requirements

• Experience applying machine learning or computation to biology, chemistry, or materials science.
• Strong track record creating environments or evaluations for model training.
• Experience building large, complex data pipelines for model training or production.
• Strong prototyping and coding skills, including the ability to quickly build and iterate on ideas in Python.
• Research creativity and intuition, including identifying promising directions, designing experiments, and navigating ambiguity.
• Solid software engineering fundamentals, including clean code, version control, testing, and integration of experimental work into shared infrastructure.

Nice to have

• Experience training large language models.
• Strong publication record at conferences such as NeurIPS, ICML, or ICLR.
• Strong Python skills across research and production infrastructure.
• Familiarity with distributed computing tools such as Ray or Modal, or LLM inference systems such as vLLM and batching strategies.
• Experience with asynchronous Python, Pydantic, and workflow orchestration frameworks such as Flyte or Airflow.

Culture & Benefits

• Full-time U.S. employees receive medical, dental, and vision coverage, employer-paid life and disability insurance, flexible time off, company-wide holidays, paid parental leave, educational assistance, commuter benefits, and subsidized lunch.
• Full-time employees outside the U.S. receive benefits tailored to their region.
• U.S. employees receive a base salary range with bonus potential and early-stage equity.
• Work in a startup-speed environment focused on scientific discovery and values of truth, trust, curiosity, grit, and velocity.

Hiring process

• Applications are accepted directly from candidates; unsolicited agency resumes are not accepted unless the agency has been contacted by hirify.global’ internal Talent Acquisition team.