Bindwell · 1 day ago
Founding Machine Learning Engineering Scientist
Bindwell is fundamentally building a system that replaces a lab technician with a single neural network. The role focuses on developing foundational biochemistry models and creating a continuous data feedback loop between model predictions and physical experiments.
AgricultureAgTechArtificial Intelligence (AI)
Responsibilities
Use your understanding of machine learning to develop models foundational to eventually replacing the need for wet-lab experiments
Design, train, and refine foundational biomolecular interaction models (architecture design)
Assemble high-quality training data and build autonomous data collection systems
Analyze the generalization and weaknesses in our models to inform data-generation strategy
Lead the design of future models to replace every part of chemical R&D
Qualification
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
Company
Bindwell
Bindwell is a Biotech company that uses AI to develops safer pesticides.
Funding
Current Stage
Early StageTotal Funding
$6.5MKey Investors
Y Combinator
2025-11-13Seed· $6M
2025-03-12Pre Seed· $0.5M
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