Join Genesis Molecular AI as a Senior Infrastructure Engineer to enhance our multi-cloud compute infrastructure for drug discovery.
Posted by employer 9 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 9 hours ago
Skills & Technologies
AI in the day-to-day
We are building an AI platform to accelerate drug discovery through machine learning and computational chemistry.
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer focuses on enhancing and maintaining the multi-cloud infrastructure that underpins machine learning model training and drug discovery initiatives. Key skills include proficiency in Python, Bash, Terraform, Ray, and Kubernetes, with a strong background in managing large-scale cloud environments. This position is ideal for someone with over five years of experience in cloud infrastructure, particularly those familiar with distributed ML training on extensive GPU clusters. The team is composed of experts across various scientific disciplines, fostering a collaborative environment aimed at impactful drug development.
Joblaze insights
Quick facts
From the original posting
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.
You Will
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
You Are
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
What We Offer
The opportunity to work on high impact infrastructure that is used to accelerate the discovery of new medicines
A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology
Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program
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