Member of Technical Staff - Machine Learning

Responsibilities

• 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

Requirements

• 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

• 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

Preferred experience

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.