ashby
Software Engineer, Infrastructure
Chai Discovery
San Francisco, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 1 weeks ago
Free
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We are hiring an engineer obsessed with building systems and infrastructure that are as simple as possible while being flexible and resilient. You will build the compute and infrastructure systems underpin our product surface, model inference, and evaluation suite. You’ll work closely with product engineers, researchers, and our commercial team.
You have built services that developers love, moved and scaled AI/ML systems into production, and can help us predict and preempt objections that might prevent leading biopharma organizations from adopting our platform.
After years of foundational R&D, Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to build and scale the most advanced AI drug design models ever built, working alongside a craft-obsessed team of micro pessimists and macro-optimists.
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About Chai Discovery
Chai Discovery builds frontier AI models to design molecules and transform how new cures are found. We are a craft-obsessed team setting out to re-architect drug discovery and save lives.
The Chai founding team brought together leading researchers in this space and top silicon valley operators. Our founders led seminal accomplishments at top AI-for-biology programs and labs, co-invented protein language modelling, built state-of-the-art folding algorithms, and sold AI adopted by top-10 pharma companies. We are backed by top-tier investors, including OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and many more.
About the role
We are hiring an engineer obsessed with building systems and infrastructure that are as simple as possible while being flexible and resilient. You will build the compute and infrastructure systems underpin our product surface, model inference, and evaluation suite. You’ll work closely with product engineers, researchers, and our commercial team.
You have built services that developers love, moved and scaled AI/ML systems into production, and can help us predict and preempt objections that might prevent leading biopharma organizations from adopting our platform.
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