A
Machine Learning Engineer
PythonRayDistributed SystemsML InfrastructureKubernetes
About the role
Build the Ray platform and help customers scale AI workloads from research to production.
Responsibilities
Develop ML infrastructure features; optimize distributed training; support open-source community.
Requirements
Experience with ML frameworks; Python; systems-level thinking; customer-facing skills.
Benefits
Remote-first, equity, learning budget, wellness programs, annual team offsite.
Disclaimer: MMagic.ai connects talented people with AI companies around the world. While we work hard to feature quality opportunities, we don't independently verify employers, candidates, salaries, or hiring outcomes. We encourage you to research each opportunity and company before applying or making an offer.