Genesis Therapeutics is hiring a
Senior Machine Learning Engineer

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Genesis Therapeutics

πŸ’΅ ~$150k-$200k
πŸ“Remote - United States

Summary

Genesis AI is a team of drug hunters, deep learning researchers, and software engineers focused on developing foundation models for small molecule drug discovery. The company seeks experienced ML Engineers to lead engineering efforts and drive forward the ML research agenda for generative modeling of molecular systems.

Requirements

  • Strong engineer with a deep understanding of codebases and experience with distributed training and inference of large models on GPU clusters using 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 excited to dive deep into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries

Responsibilities

  • Lead engineering efforts focused on continuous improvement of the AI platform, optimizing for 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., pushing the limits of what’s possible with current hardware
  • Define the long-term vision for Genesis’ ML platform

Preferred Qualifications

  • 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

Benefits

  • 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-term disability insurance

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