Biological ML Interpretability Engineer

Output Biosciences; San Francisco (CA); Presencial; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and equity

Excellent medical, dental, and vision

Ownership of milestones

Creative, growth-focused culture

Descripción de la vacante

Output Biosciences is building a pioneering biological reasoning model and seeks a candidate to advance interpretability across molecular scales. You will probe learned representations, design experiments, and produce tools that translate model internals into actionable biology insights.

You will work with teams across pretraining and generation to ensure interpretability informs model development. A PhD or equivalent experience plus publications are expected, with strong Python/PyTorch skills

Formación

• PhD in CS, ML, physics, math or related field with 2+ years post-doc or 5+ years hands-on research/engineering in interpretability.
• Strong publication record in top venues (NeurIPS, ICML, ICLR) focusing on mechanistic interpretability or related areas.
• Hands-on experience analyzing internal representations of large neural networks and designing revealing experiments.
• Proficiency in Python and PyTorch; experience with large models on GPU infrastructure.
• Ability to translate interpretability research into reusable, production-quality tools.

Responsabilidades

• Develop methods to probe and reverse-engineer model representations across molecular scales.
• Design experiments to map model learned capabilities and biological knowledge.
• Build tools to extract interpretable outputs for downstream systems and scientists.
• Create visualizations or analyses that connect model internals to concrete biology concepts.
• Collaborate with pretraining and generation teams to integrate interpretability findings into model development.
• Own end-to-end pipeline from experiments to production-quality tools on distributed infrastructure.

Conocimientos

Python

PyTorch

Experiment design

Model interpretability

GPUs

Version control

Educación

PhD in CS / ML / Physics / Mathematics

Bachelor’s or Master’s with 5+ years research/engineering

Herramientas

Git

CUDA

Jupyter

Descripción del empleo

Output Biosciences is building a pioneering biological reasoning model and seeks a candidate to advance interpretability across molecular scales. You will probe learned representations, design experiments, and produce tools that translate model internals into actionable biology insights.

You will work with teams across pretraining and generation to ensure interpretability informs model development. A PhD or equivalent experience plus publications are expected, with strong Python/PyTorch skills