We’re building a system that replaces a lab technician + physics + chemistry intuition with a single neural network. This is a rare role: someone who can operate like a strong SWE/MLE while also being a real synthetic chemist with biochemistry depth (proteins/peptides). You’ll work directly with the founders to connect model predictions to molecules we can actually make, generating the data loop that makes our models better over time.
We’re willing to pay a $15k referral bonus for an exceptional hire.
What You’ll Work On
- Own our data pipeline end-to-end: ingest data from lab/CROs/vendors/journals, enforce reproducible protocols + metadata standards, and maintain a central database that’s easy to query and iterate on.
- Make our generative / synthesis models chemistry-aware and tightly integrated with what we can actually make in the lab.
- Help design new peptides and small molecules and test them in the lab.
- Help build our automated synthetic chemistry + peptide synthesis lab from scratch, including vendor/CRO coordination and workflows that generate ML-useful data.
Requirements
- Strong SWE fundamentals: excellent Python, clean engineering habits, reproducible workflows, and comfort running and training ML models.
- Experience building data pipelines and datasets for ML (SQL).
- Synthetic chemistry experience including retrosynthesis and practical route planning.
- Solid biochemistry / molecular design foundation, with hands-on experience in peptide/protein synthesis and/or protein/peptide design, or strong small-molecule design experience.
- High ownership and speed in an ambiguous, fast-moving startup environment.
Nice to Have
- Experience designing automated synthetic chemistry labs.
- Deep ML research experience.
- Mandarin Chinese fluency (our lab will be built in China, and many of our CRO’s are Chinese)
What We Offer
- Work directly with both founders on core technical decisions.
- Ownership across models, data, and lab execution — the full loop.
- A mission that matters: safer, more targeted pest control through better science and better models.
🚀 Y Combinator Company Info
Y Combinator Batch: W25
Team Size: 4 employees
Industry: Industrials -> Agriculture
Company Description: Discovering new pesticides with AI
💰 Compensation
Salary Range: $200,000 - $250,000
Equity Range: 1.0% - 2.0%
📋 Job Details
Job Type: Full-time
Experience Level: 1+ years
Engineering Type: Chemical engineering
Science Type: Chemistry
🛠️ Required Skills
Chemistry Wet lab Biochemistry Protein engineering Torch/PyTorch Python PostgreSQL