Genesis Molecular AI
Software Engineer - ML Infrastructure
San Mateo, CA
Sponsorship not specifiedDetected 240 days ago
KubernetesMachine LearningDeep LearningPyTorchMLOpsResearch
About the role
- Genesis is a highly-collaborative and cross functional environment, and you will work in close partnership with our exceptional engineers, researchers, and scientists.
- Optimizing efficiency of ML models and other workloads in terms of latency, throughput, memory consumption, etc. (e.g., via GPU performance engineering), pushing the limits of what's possible with the current hardware.
- Contribute to the long-term vision for Genesis' infra platform.
Responsibilities
- Lead engineering efforts focused on continuous improvement of the AI platform, focused on rapid build out and iteration on scalable and robust distributed infrastructure for ML training, inference, and evaluation.
- Support model training and deployment across multiple clusters and multiple clouds, optimizing for throughput and cost.
- Genesis Molecular AI http://genesis.ml is pioneering foundation models for molecular AI to unlock a new era of drug design and development.
Compensation
- Compensation, Benefits, and Perks
Benefits
- Open (unlimited) PTO policy.
- Paid family leave (maternity and paternity).
- Life and long- and short-term disability insurance.
- Medical, Dental, and Vision (covered 100% for the employees).
Company info
- We're a tight-knit team of proven drug hunters, deep learning researchers, and software engineers united by a common mission - drive AI innovation in biochemistry, discovering and developing groundbreaking therapies for patients suffering from severe disorders.
- Genesis AI team is focused on developing foundation models for small molecule drug discovery by conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, as well as engineering robust software systems that enable running large scale simulations and training generative and predictive AI models designed to learn from all kinds of molecular data, leveraging our cluster with 1000s of GPUs and 10,000s of CPUs.
- We're seeking experienced ML infrastructure engineers to join the team and lead engineering efforts focused on driving forward our ML research agenda for generative modeling of molecular systems, which is instrumental to our mission.
- We are proud to be an inclusive workplace and an
Equal opportunity
- Equal Opportunity Employer.
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