Machine Learning Systems Engineer at Jobot
San Francisco, CA 94102
About the Job
Hybrid Remote - Well-funded Series C Generative AI Company in Hyper Growth Mode - Amazing Benefits!
This Jobot Job is hosted by: Caitlyn Hardy
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $215,000 - $280,000 per year
A bit about us:
We are a well-funded Generative AI startup in the healthcare space and we are growing fast!
Why join us?
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!
Job Details
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
This Jobot Job is hosted by: Caitlyn Hardy
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $215,000 - $280,000 per year
A bit about us:
We are a well-funded Generative AI startup in the healthcare space and we are growing fast!
Why join us?
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!
Job Details
- 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 "Quick Apply" button.
Salary
215,000 - 280,000 /year
