Machine Learning Systems Engineer

This Jobot Job is hosted by: Caitlyn Hardy

Are you a fit? Easy Apply now by clicking the "Apply Now" button
and sending us your resume.

Salary: $215,000 - $280,000 per year

We are a well-funded Generative AI startup in the healthcare space and we are growing fast!

Unlimited PTO

Comprehensive and generous benefits package

Continuous education reimbursement

Flexible working hours

Hybrid remote work environment

Equity

Opportunity to work and grow with talented individuals, and have ownership and impact at a high-growth startup.

Plus much more!

• 5+ years of experience in ML model deployment and scaling
• Strong proficiency in Python and Kubernetes, with experience building scalable ML infrastructure
• Expertise in designing fault-tolerant, highly available systems.
• Experience working with cloud environments, Infrastructure as Code (IaC), and managing deployments using Kubernetes.
• Proficiency in optimizing system performance, debugging production issues, and designing systems for scalability and security.
• Experience in software design and architecture for highly available machine learning systems for use cases like inference, evaluation, and experimentation
• Excellent understanding of low-level operating systems concepts, including multi-threading, memory management, networking and storage, performance, and scale
• Bachelor's/Master’s Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalent
• Proven experience working with distributed systems and handling inference at scale is a plus

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.