
Member of Technical Staff - Machine Learning
About this role
The Member of Technical Staff - Machine Learning role is available at inductive-bio in New York City, San Francisco, or Boston, targeting professionals who want to build artificial intelligence systems for accelerated drug discovery. This position suits experienced machine learning practitioners with a strong scientific background who want to apply advanced modeling to real molecular optimization programs.
Role Overview
inductive-bio seeks a Member of Technical Staff for machine learning to innovate on modeling methods, collaborate with drug discovery scientists, and impact active drug programs. The organization develops artificial intelligence models and medicinal chemistry agents to speed up molecule identification and testing.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
inductive-bio builds artificial intelligence and machine learning tools to accelerate the drug discovery process through predictive models and medicinal chemistry agents. The company is backed by investors including a16z, Lux, S32, and Obvious, and operates with a team combining expertise in machine learning and drug discovery.
How to Apply
Candidates should visit the official company careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
What is the salary range for this position?
The salary ranges from $180K to $250K, accompanied by equity offerings.
Where is the job located?
The position is available in New York City, San Francisco, or Boston.
What level of experience is required?
Applicants must have 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, or similar role, ideally with a PhD.
What technical frameworks are used?
The role requires proficiency in standard Python-based machine learning frameworks such as PyTorch, JAX, and TensorFlow.
What benefits are provided?
The company offers competitive salary, equity-based compensation, comprehensive healthcare benefits including dental and vision, and growth opportunities.