Job Details

Join to apply for the ML Infrastructure Engineer (Staff / Principal) role at Genesis Therapeutics

About The TeamWe'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 focuses 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 thousands of GPUs and CPUs.

About The Role

We're seeking experienced ML 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. As an ML Engineer at Genesis, you will lead rapid iteration on our AI platform and infrastructure, unlocking the next level of performance, efficiency, and scale. You will build massively distributed training and inference pipelines, core MLOps tools and frameworks, and optimize GPU operations to speed up ML models. Genesis is a highly-collaborative and cross-functional environment, and you will work in close partnership with our engineers, researchers, and biochemistry experts.

You Will

• Lead engineering efforts focused on continuous improvement of the AI platform, with 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.
• Optimize efficiency of ML models and other workloads in terms of latency, throughput, memory consumption, etc. (e.g., via GPU performance engineering).
• Define the long-term vision for Genesis' ML platform.
• Mentor and guide more junior members of the technical team and research interns, fostering growth and innovation.

You are

• Strong engineer who writes clean code and has a deep understanding of the codebases you work in.
• Deeply experienced with distributed training and inference of large models on GPU clusters and with core libraries/frameworks such as PyTorch, PyTorch Lightning, PyTorch Geometric, and Ray.
• Independent thinker with ownership and the ability to engineer robust systems from first-principles to state-of-the-art implementations.
• Curious, problem-oriented thinker excited to explore the intersection of AI, physics, chemistry, and biology and make foundational contributions (no previous experience in anything but ML is necessary).

Nice to have

• Experience building, maintaining, and debugging low-level cluster infrastructure across multiple clouds using Kubernetes and Terraform.
• Experience as a GPU engineer who can identify bottlenecks and architect performant code for large-scale ML workloads.
• Experience with XLA, Triton, CUDA, or similar accelerator programming languages and/or deep learning compiler stacks.
• Experience with molecular systems (protein sequences and 3D structures, small molecules), ML force fields, or physics-informed models, or related data such as point clouds.

Compensation, Benefits, And Perks

• Competitive compensation package that includes salary and equity.
• Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for 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.

Genesis Therapeutics is unifying AI and biotech to discover novel and breakthrough treatments for patients with severe and devastating conditions. Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space) to accelerate and optimize small molecule drug discovery. We have signed AI-focused platform collaborations with major pharmaceutical companies and have raised substantial funding from top investors. Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

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