Genesis pairs frontier AI with world-class drug hunters to discover small molecule medicines. Built on Pearl and GEMS. Partnered with Gilead and Incyte. Backed by a16z.
About the role
Genesis Molecular AI is building a world-class computational team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for an Infrastructure Engineer that is excited to help develop new medicines and play a critical role in building out our AI platform.
What they're looking for
- 5+ years of experience building and maintaining cloud infrastructure at scale, e.g. within AWS or GCP
- Proficient with Python, Bash, Terraform, Ray and Kubernetes
- Ideally, experience building and maintaining compute clusters running distributed ML training jobs with 1,000+ GPUs
- Nice to have: hands-on experience with physical hardware + datacenter management
More about this role
Genesis Molecular AI is building a world-class computational team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for an Infrastructure Engineer that is excited to help develop new medicines and play a critical role in building out our AI platform.
Work on our infrastructure team to maintain and grow our multi-cloud compute infrastructure that supports our ML model training, computational chemistry research, and ongoing drug discovery efforts
Build out our configuration and procedures for monitoring, resource allocation, and deployment automation, as we continue to grow our autoscaling compute clusters to handle larger workloads
Work on orchestration scheduling framework to increase our execution throughput, reliability, and compute utilization across heterogeneous pipelines
5+ years of experience building and maintaining cloud infrastructure at scale, e.g. within AWS or GCP
Proficient with Python, Bash, Terraform, Ray and Kubernetes
Ideally, experience building and maintaining compute clusters running distributed ML training jobs with 1,000+ GPUs
Nice to have: hands-on experience with physical...
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