The AI data analyst for biology labs. Backed by Y Combinator.
About the role
We're hiring a Founding Machine Learning Engineer to build the AI systems that power our platform. The core challenge: take a natural language query from a biologist and turn it into a correct, reliable bioinformatics workflow. That means working with LLMs, building evaluation systems to know when outputs are good (and when they're not), and shipping models that real scientists depend on every day.
What they're looking for
- Bachelor's or Master's in Computer Science, Machine Learning, AI, or a related field (PhD is a plus)
- 2+ years building and deploying ML models in production
- Strong Python skills and hands-on experience with PyTorch, TensorFlow, or similar
- Real experience with LLMs: fine-tuning, RAG, prompt engineering, evals
- Experience working with large datasets and building data pipelines
- Familiar with AWS or GCP for model training and deployment
More about this role
Novaflow is the AI data analyst for biology labs. Analytics is the bottleneck for scientific discovery. Biologists have to outsource analysis to expensive bioinformaticians or core services and wait weeks or months for results. We're solving this by putting analysis directly back into the hands of researchers, allowing them to go from raw data to publication-ready insights and visualizations in days instead of months. We're well-funded, growing extremely fast, and backed by leading investors including Y Combinator and BioRender.
We're hiring a Founding Machine Learning Engineer to build the AI systems that power our platform. The core challenge: take a natural language query from a biologist and turn it into a correct, reliable bioinformatics workflow. That means working with LLMs, building evaluation systems to know when outputs are good (and when they're not), and shipping models that real scientists depend on every day.
This is a high-agency, high-ownership role. You'll work directly with the founders and have real say in our AI strategy. Biology background is not required. What matters is that you're a strong ML engineer who ships.
This role is in-person at our San Francisco...
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