Senior Generative Molecular AI Scientist

Output Labs; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary and equity

Excellent medical, dental, and vision

Job summary

Output Labs is building a biological reasoning model capable of designing and evaluating novel molecules across multiple modalities. You will lead design, training, and evaluation of generative architectures, and run experiments on distributed GPU clusters.

You will own the end-to-end pipeline from research ideas to shipped models, writing production-quality code and contributing to an open, fast-moving biotech startup.

Qualifications

• PhD in CS/ML/Physics/Math or related field with post-doc or industry research experience.
• Strong publication record in generative methods at top-tier venues (e.g., NeurIPS, ICML, ICLR).
• Hands-on experience designing, building, and training deep generative models.
• Proficient in Python and PyTorch; experience training models on distributed multi-GPU infrastructure.
• Ability to own the full research-to-training pipeline: you train and ship models.

Responsibilities

• Design and build generative architectures for molecular data spanning multiple modalities.
• Develop training approaches that learn from diverse biological signals and enable novel structures.
• Build controllable generation methods meeting biological constraints while respecting chemistry rules.
• Integrate biological reasoning from the foundation model into the generative pipeline.
• Own training end-to-end: experiment design, distributed multi-GPU training, hyperparameter tuning.
• Design evaluation frameworks to measure biological meaningfulness, structural validity, and novelty.

Skills

Python

PyTorch

Distributed GPUs

Research-to-training

Experiment design

Education

PhD in CS/ML/Physics/Math (2+ yrs post-doc)

Bachelor's/Master's with 5+ yrs hands-on research

Tools

Git

Docker

Job description

Output Labs is building a biological reasoning model capable of designing and evaluating novel molecules across multiple modalities. You will lead design, training, and evaluation of generative architectures, and run experiments on distributed GPU clusters.

You will own the end-to-end pipeline from research ideas to shipped models, writing production-quality code and contributing to an open, fast-moving biotech startup.