Member of Technical Staff - Machine Learning

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 innovate on ML methods, work closely with leading drug discovery scientists, and see your work applied directly to real drug programs. You’ll have significant ownership, impact, and opportunity to grow with the company.

What you’ll do:

Develop machine learning models to predict molecular properties from chemical structures

Develop novel algorithms for generate and prioritize molecules for synthesis

Build agents that can analyze complex information from drug programs and apply that information strategically toward molecular optimization

Get your hands dirty by diving deep into our unique, proprietary dataset to iterate on modeling ideas and improve model performance

Collaborate closely with chemists and software engineers to integrate models into our software platform, which is used by drug discovery scientists across the industry

Build and optimize scalable infrastructure for model training, deployment, and monitoring

Engage directly with our scientific users, incorporating their feedback into the product

Contribute meaningfully to product strategy and company direction

Who you are:

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

You have exceptional written and oral communication skills

Preferred experience:

You have graduate-level knowledge of cell / molecular biology or biochemistry, and experience collaborating with wet lab scientists

Experience with omics modeling (transcriptomics, proteomics, metabolomics, etc)

Experience with high-content screening and signal processing from microscopy data

Working at Inductive

At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.