Full-Time

ML Infrastructure Engineer – Senior / Staff / Principal

Confirmed live in the last 24 hours

Genesis Therapeutics

Genesis Therapeutics

51-200 employees

AI-driven drug discovery for pharmaceuticals

AI & Machine Learning
Biotechnology

Senior, Expert

Burlingame, CA, USA

Hybrid position requiring in-office presence.

Category
DevOps & Infrastructure
Cloud Engineering
Required Skills
Kubernetes
CUDA
Pytorch
Terraform
Requirements
  • 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).
  • 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.
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.
  • Define 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.

Genesis Therapeutics accelerates the development of new medicines by using artificial intelligence in drug discovery. The company combines 3D spatial graph modeling and molecular simulation to identify potential drug candidates and explore new chemical spaces. Unlike its competitors, Genesis Therapeutics focuses on strategic partnerships with other biotech and pharmaceutical companies, generating revenue through upfront payments and future earnings based on drug success. The goal is to transform the drug discovery process and bring new therapies to market.

Company Stage

Series B

Total Funding

$272.5M

Headquarters

Burlingame, California

Founded

2019

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnership with NVIDIA enhances GEMS platform for targeting undruggable diseases.
  • $224 million equity investment boosts research and development capabilities.
  • Recognition as a 'Fierce 15' company underscores AI's role in breakthrough therapeutics.

What critics are saying

  • Competition from AI-driven companies like Insilico Medicine and Exscientia is increasing.
  • Over-reliance on partnerships could lead to financial instability if drugs aren't successful.
  • Rapid AI advancements may render current models like GEMS obsolete without updates.

What makes Genesis Therapeutics unique

  • Genesis Therapeutics uses AI to accelerate drug discovery with 3D spatial graph modeling.
  • The GEMS platform integrates deep learning, molecular simulations, and generative AI for drug design.
  • Strategic partnerships with Eli Lilly and Gilead highlight Genesis' industry collaboration strength.

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Benefits

Competitive salary

Equity

Medical, dental, & vision insurance

401(k) program