Genesis Molecular AI · 2 hours ago
ML Infrastructure Engineer (Staff / Principal)
San Mateo, CA
Full-time
Onsite
Lead/StaffGenesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. They are seeking experienced ML infrastructure engineers to lead engineering efforts focused on driving forward their ML research agenda for generative modeling of molecular systems.
Artificial Intelligence (AI)BiotechnologyInformation Technology
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
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’ ML platform
Have the opportunity to mentor and guide more junior members of our technical team as well as research interns, fostering an environment of growth and innovation
Qualification
Required
Strong engineer who constantly strives for technical excellence. You can write clean code and have a deep understanding of the codebases you work in
Deeply experienced with distributed training and inference of large models on GPU clusters and some of the core libraries and frameworks we use: Pytorch, Pytorch Lightning, Pytorch Geometric, and Ray
Independent thinker with a strong sense of ownership and capability of engineering robust systems from first-principles-based conceptualization to state-of-the-art realization
Curious, problem-oriented thinker who is excited to dive deep into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries (no previous experience in anything but ML necessary)
Preferred
Experienced with building, maintaining and debugging low-level cluster infrastructure running on multiple clouds using Kubernetes and Terraform
Experienced GPU engineer who can quickly figure out performance bottlenecks and architect highly performant code for large scale ML workloads
Experience with XLA, Triton, CUDA, or similar accelerator programming languages and/or deep learning compiler stacks
Experience working with some of the following: molecular systems (protein sequences and 3D structures, small molecules, etc.), ML force fields or other physics-informed models and methods, or point cloud data in other application domains, such as 3D graphics
Benefits
Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees).
401(k) plan.
Open (unlimited) PTO policy.
Free lunches and dinners at our offices.
Paid family leave (maternity and paternity).
Life and long- and short-term disability insurance.
Company
Genesis Molecular AI
Genesis Therapeutics unifies AI and biotech to accelerate the discovery of new medicines.
Founded in 2019
51-200 employees
H1B Sponsorship
Genesis Molecular AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
2023 (1)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$256.1MKey Investors
Andreessen HorowitzRock Springs Capital
2023-08-21Series B· $200M
2020-12-02Series A· $52M
2020-04-01Series Unknown
Leadership Team
Evan Feinberg
Founder and CEO
Aleksandra Faust
Chief AI Officer
Recent News
Genetic Engineering News
2025-12-10
MIT Technology Review
2025-11-27
Company data provided by crunchbase