Research Engineer - Auto Research
Build agent-powered systems to improve model training and accelerate inference in AI drug design at Chai Discovery.
Posted by employer 4 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 19 hours ago
What you'll build
- Build agent-powered systems and frameworks
- Automate the research loop
- Improve model training
- Accelerate inference
- Run experiments and evaluate results
Must have
- Proficiency in Python
- Fluency in Pytorch or JAX
- Strong system design skills
Nice to have
- Deep industry experience with AI/ML teams
- Experience with agent-powered software
AI in the day-to-day
Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In this role, the Research Engineer will focus on developing systems and frameworks that enhance model training and streamline the research process for drug discovery. Key skills include proficiency in Python and experience with frameworks like Pytorch or JAX, alongside a strong background in AI/ML system design. This position is well-suited for candidates with significant industry experience who have demonstrated impactful contributions to agent-powered software. Chai Discovery emphasizes a culture of rapid innovation and ownership, making it an ideal environment for those eager to advance AI in life sciences.
Joblaze insights
Quick facts
- Is the Research Engineer - Auto Research role remote?
- No — this is an on-site role in San Francisco office.
- Where is the role based?
- Chai Discovery is hiring for this position in San Francisco office.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, JAX, PyTorch, Python.
- What seniority level is this role?
- Chai Discovery targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Engineer - Auto Research role at Chai Discovery.
From the original posting
About the role
Build agent-powered systems and frameworks to improve model training, accelerate inference, and help our research organization move faster. Automate the research loop itself rather than just the models it produces, including the tooling and datasets that allow agents to run experiments, evaluate results and propose next steps.
Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a rigorous and craft-obsessed team.
About you
Ideal backgrounds include deep industry experience working with top AI/ML teams on agent-powered software—with strong system design skills, proficiency in Python, and Pytorch or JAX fluency. We look for technical spikes where you have gone deep and demonstrated exceptional impact on real-world problems and systems.
Standard company text repeated across Chai Discovery's postings is omitted here.