Founding Machine Learning Engineering Scientist
$220k/y-$300k/y
Bindwell9 days ago
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OnsiteFull-timeMid
Summary
Bindwell is seeking a Founding Machine Learning Engineering Scientist to join their team in San Francisco, CA. The role involves building foundational biochemistry models and creating a continuous data feedback loop between model predictions and physical experiments.
About the Role
As a Founding Machine Learning Engineering Scientist, you will use your understanding of machine learning to develop models that aim to replace the need for wet-lab experiments. Your responsibilities will include designing, training, and refining biomolecular interaction models, assembling high-quality training data, analyzing model weaknesses, and leading the design of future models for chemical R&D.
About You
Required:
- Solid practical ML engineering and software engineering fundamentals (Python, PyTorch/JAX/TensorFlow, NumPy/SciPy).
- Proven track record of designing, building, and validating novel ML model architectures and training techniques.
- Strong foundation in mathematics, algorithms, statistics, and data science principles.
- Familiar with SQL and building datasets for ML.
Preferred:
- Experience working with biochemical or structural biology datasets.
- Exposure to foundation models in bio (e.g., AlphaFold, ESM, RoseTTAFold, ProtBert).
- Experience working with LLM agents.
- Experience managing large training runs on GPU clusters.
Benefits
- Work directly with both founders in a small highly technical fast-paced ML engineering team.
- Ownership of foundational ML infrastructure and research.
- A mission that matters: enabling a safer, more sustainable future in agriculture through better models.
Bindwell
We're building AI models to develop better, safer pesticides in-house. Our latest model, Foldwell, is the AlphaFold killer—it's four times faster than AlphaFold 3.
San Francisco, CA