Nebius
Nebius is seeking a Senior Machine Learning Engineer to lead model and endpoint optimization for frontier AI models, focusing on improving latency, throughput, and cost efficiency in production. The role involves hands-on work with inference engines, debugging performance regressions, and implementing advanced optimization techniques like quantization and speculative decoding. This position requires close collaboration with kernel and platform engineers to deliver measurable improvements in real-world AI workloads.
Headquarters
Amsterdam, North Holland, Netherlands
Company Size
201-500 employees
Founded
2022
Nebius is a purpose-built AI cloud platform engineered from silicon to API, designed to help developers and enterprises build and scale AI faster. It offers custom hardware with non-virtualized GPUs and InfiniBand, built-in MLOps tooling, and serverless and managed inference for workloads ranging from training to production deployment. Nebius serves the entire AI ecosystem with elastic, enterprise-grade infrastructure and 24/7 expert support.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Nebius.
Nebius didn’t post a salary, so this is our estimate from similar listings.
9% below the average for this role