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.
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