Software Engineer - ML Infrastructure

Core 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' infra platform.

This role drives AI innovation in biochemistry to discover and develop groundbreaking therapies for patients suffering from severe disorders, contributing to foundation models for small molecule drug discovery that could unlock a new era of drug design and development.

Required skills and experience:

• Strong engineer who constantly strives for technical excellence with ability to write clean code and deep understanding of codebases.
• Deeply experienced with distributed training and inference of large models on GPU clusters and core libraries/frameworks: Pytorch, Pytorch Lightning, Pytorch Geometric, and Ray.
• Independent thinker with 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.

Compensation and 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- and short-term disability insurance