AI solutions for small molecule drug discovery. AI-integrated synthesis, virtual lab bench, ADME assays, and embedded chemistry experts to accelerate your program. Backed by a16z and Lux.
About the role
Develop machine learning models to predict molecular properties from chemical structures Develop novel algorithms for generate and prioritize molecules for synthesis
What they're looking for
- You have 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, or similar role
- You have a strong scientific background, ideally with a PhD in chemistry, biology, physics, or a related field
- You have expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches
- You are proficient in standard Python-based ML frameworks (e.g. PyTorch, JAX, TensorFlow)
- You are comfortable writing high-quality, reusable code and productionizing models for serving in the cloud
- You are excited to dive deep into the science and practice of drug discovery
More about this role
Drug discovery is a hierarchical reinforcement-learning problem with a vast action space and years-long horizon. Scientists design and synthesize molecules that they predict will be potent, safe, and readily absorbed into the body, but this typically requires years of iteration in the lab and millions of dollars to develop a molecule that is ready for testing in human.
At Inductive, we're building the AI and machine learning tools to radically accelerate this process. Our state-of-the-art predictive models and medicinal chemistry agents identify the right compounds to make at the right time, while our AI-integrated lab shortens the time to synthesize and test them. Our ADMET/PK models have placed first in the world’s largest AI drug discovery competition for ADMET benchmarks three consecutive times, and our technology is already being applied across dozens of biopharma partnerships.
Backed by leading technology and biotechnology investors including a16z, Lux, S32, and Obvious, our team brings together world-class expertise in machine learning and drug discovery.
We are seeking a Member of Technical Staff, Machine Learning to join our talented, ambitious, and kind team. You’ll...
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