Genesis Molecular AI

Genesis Molecular AI

ML Research Engineer, Foundation Models (Senior / Staff / Principal)

San Mateo, CA · Principal

Sponsorship not specifiedDetected 357 days ago
PythonMachine LearningDeep LearningPyTorchData EngineeringLLMsA/B TestingResearchCollaboration

About the role

  • This role is for a highly skilled ML Research Engineer who thrives at the intersection of fundamental research and production-grade engineering.
  • As a core member of the Genesis AI team, you will serve as the engineering pillar for inventing, scaling, and shipping our next generation of foundation models for molecular science.
  • Join a world-class team at the forefront of AI and biochemistry.

Responsibilities

  • The Genesis AI team is building the engine for this revolution.
  • We develop large-scale generative models trained across the full spectrum of molecular data, supported by extensive compute infrastructure and simulation pipelines.
  • Drive the R&D and scaling of our foundation models, taking ownership of the engineering and experimentation for key research initiatives.
  • Make cutting-edge foundation model research a reality at scale. Implement, optimize, and build novel foundation models from the initial research prototypes to high-performance production models.
  • Own the experimental lifecycle with scientific rigor.
  • You'll design experimental plans, own their execution on our large-scale compute infrastructure, and drive the deep analysis of results to inform the next research cycle and to validate most promising approaches.
  • Genesis Molecular AI http://genesis.ml is pioneering foundation models for molecular AI to unlock a new era of drug design and development.

Requirements

  • Experience with GPU systems programming
  • You have demonstrated experience translating research into working systems quickly.
  • Hands-on experience with our core libraries: PyTorch, PyTorch Lightning, and Ray Distributed Training, PyTorch Geometric, etc.
  • You can iterate on novel architectures, training pipelines, and experimental ideas while maintaining rigorous engineering discipline.
  • No prior biology or chemistry experience is required, though curiosity and willingness to learn are essential.

Compensation

  • Competitive compensation package that includes salary and equity.

Benefits

  • Competitive compensation package that includes salary and equity.
  • Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees).
  • Open (unlimited) PTO policy.
  • Paid family leave (maternity and paternity).
  • Life and long- and short-term disability insurance.

Company info

  • At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers.
  • We are looking for someone who can own problems end-to-end, in a fast-moving research environment, translating novel ML ideas into systems that scientists can use in active discovery programs.
  • We are proud to be an inclusive workplace and an

Equal opportunity

  • Equal Opportunity Employer.

This listing is sourced directly from Genesis Molecular AI's careers page and normalized into a canonical job model.