Output
Biotech
MemberoftheTechnicalStaff,MolecularGeneration
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Member of the Technical Staff, Molecular Generation at Output. Skills: Generative models, Molecular generation, AI x Bio. Lead design and development of generative models. Build systems that produce novel molecules”
Industry & Context.
Biological reasoning; Root cause analysis
What They're Looking For.
Must Have
2+ years of post-doctoral or industry research experience, 5+ years of hands-on research and engineering experience, publication record in generative methods, extensive hands-on experience designing, building, and training deep generative models, proficient in Python and PyTorch, experience training models on distributed multi-GPU infrastructure, demonstrated ability to own the full research-to-training pipeline, write production-quality code, rigorous experimentalist
Nice to Have
experience applying generative models to molecular, chemical, or biological data, background in chemistry, biology, computational biology, biophysics, or related natural science, experience with multi-modal learning, experience with conditional or controllable generation methods, contributed to open-source machine learning projects
What You'll Do.
Lead design and development of generative models
Build systems that produce novel molecules
Design architectures for molecular data
Develop training approaches
Run experiments on distributed GPU clusters
Build methods for controllable generation
Build methods for targeted generation
Integrate biological reasoning into pipeline
Own training end-to-end
Design evaluation frameworks
How You'll Work.
Team & Collaboration
Shared codebases; Version control; Code review
Process & Methodology
Experiment design, Hyperparameter optimization, Iteration
Full Job Description
Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. You will lead the design and development of Output's generative models, working across molecular modalities to build systems that produce novel, biologically grounded molecules. This role spans the full arc from research to trained model: you design architectures, develop training approaches, run experiments on distributed GPU clusters, and evaluate results. - You will design and build generative architectures for molecular data spanning multiple modalities, including small molecules, peptides, mini proteins and more - You will develop training approaches that learn from diverse biological signal, ensuring the model composes genuinely novel structures - You will build methods for controllable, targeted generation, enabling the model to produce molecules with specified biological properties while satisfying real-world chemical constraints - You will integrate biological reasoning from our foundation model into the generative pipeline, using learned biological representations to guide and condition generation - You will own training end-to-end: experiment design, distributed training on multi-GPU clusters, hyperparameter optimization, and iteration - You will design evaluation frameworks that go beyond statistical metrics to measure whether generated molecules are biologically meaningful, structurally valid, and genuinely novel About You - You have a PhD in computer
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