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Software Engineer - ML Infrastructure
Genesis Molecular AIAI-driven Drug company
San Mateo, United StatesSenior
Andreessen Horowitz
T. Rowe Price
Radical Ventures
NVentures
Rock Springs Capital
Fidelity
Data & AI
About the role
TL;DR
Lead ML infrastructure engineering efforts for drug discovery AI platform.
- •We're seeking experienced ML infrastructure engineers to join the team and lead engineering efforts focused on driving forward our ML research agenda for generative modeling of molecular systems.
- •Key Responsibilities Lead engineering efforts focused on continuous improvement of the AI platform.
- •Support model training and deployment across multiple clusters and multiple clouds.
- •Optimizing efficiency of ML models and other workloads in terms of latency, throughput, memory consumption, etc.
- •Contribute to the long-term vision for Genesis' infra platform.
- •Requirements Strong engineer who constantly strives for technical excellence.
- •Deeply experienced with distributed training and inference of large models on GPU clusters.
- •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.
Required skills
PyTorchKubernetesCI/CDEngineering Management
Domain expertise
biotech
Benefits & perks
Competitive compensation package, Health benefits, 401(k) plan, Open PTO policy, Free lunches and dinners, Paid family leave, Life and disability insurance
Tech stack
PyTorchKubernetesTerraform
