Research Engineer - Auto Research

Chai Discovery
San Francisco
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Experience: 4+ yearsSkills: ["Ownership"]

Build and optimize an agent-powered auto-research framework for the research organization, improving model training velocity and accelerating inference and iteration cycles. Create tooling, datasets, and workflows so agents and researchers can run experiments, evaluate results, and propose next steps with minimal manual overhead. Automate research workflows across training, evaluation, and deployment to increase researcher throughput.

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Chai Discovery
Chai Discovery
1 day ago

Research Engineer - Auto Research

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 minutes agoStatus: Live

Job Summary

Build and optimize an agent-powered auto-research framework for the research organization, improving model training velocity and accelerating inference and iteration cycles. Create tooling, datasets, and workflows so agents and researchers can run experiments, evaluate results, and propose next steps with minimal manual overhead. Automate research workflows across training, evaluation, and deployment to increase researcher throughput.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Develop and optimize an agent-powered auto-research framework to improve training velocity and accelerate inference and iteration cycles.
  • •Build tooling, datasets, and workflows that let agents and researchers run experiments, evaluate results, and propose next steps with minimal manual overhead.
  • •Automate research workflows across the model lifecycle—training, evaluation, and deployment—to increase researcher throughput.

Key Requirements

  • •4+ years of industry experience working closely with or within AI/ML research teams.
  • •Proficiency in Python and familiarity with PyTorch or JAX.
  • •Strong software system design skills for building tools and abstractions used by researchers or agents.
  • •Experience building agent-powered software systems.
Experience:4+ yearsAI/MLLife sciencesDrug discovery
Skills:Ownership
Tech Stack:PythonPyTorchJAX

Company Brief

Chai Discovery
Builds foundation AI models to predict and design interactions between biochemical molecules, enabling de novo antibody and drug design to accelerate pharmaceutical discovery and development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2024
WebsiteLinkedIn