ML Infrastructure Engineer Staff Principal
ML Infrastructure Engineer Staff Principal
Posted on :
20-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
20-04-2025
Job Description
About the Team
Were a tightknit 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 10000s of CPUs.
About the Role
Were 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 that was not previously possible. 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 highlycollaborative and cross functional environment and you will work in close partnership with our exceptional engineers researchers and biochemistry experts.
Positions are available at various levels of seniority starting from Senior and above.
You Will
- 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 whats possible with the current hardware.
- Define the longterm 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.
You are
- 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 firstprinciplesbased conceptualization to stateoftheart realization.
- Curious problemoriented 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).
Nice to haves
- Experienced with building maintaining and debugging lowlevel 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 physicsinformed models and methods or point cloud data in other application domains such as 3D graphics.
Compensation Benefits and Perks
- Competitive compensation package that includes salary and equity.
- 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 shortterm disability insurance.
Our team has created the industrys most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space) to accelerate and optimize small molecule drug discovery and to enable the discovery of novel firstinclass and bestinclass small molecule for challenging and/or undruggable targets.
The company has leveraged GEMS to build an internal pipeline with multiple programs against highvalue targets including datapoor and canonically undruggable targets where GEMS is uniquely advantaged. In addition Genesis has signed AIfocused platform collaborations with major pharmaceutical companies including most recently Incyte Corporation (Feb 2025 and Gilead Sciences (Sept 2024.
We raised a $200M series B in August 2023 and have raised over $300M in funding from top technology and biotech investors including Andreessen Horowitz Rock Springs Capital T. Rowe Price Fidelity Radical Ventures NVentures (NVIDIAs VC arm) BlackRock and Menlo Ventures.
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.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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