Skip to content

Senior Machine Learning Engineer, LLM Inference Optimization

Nebius

Remote

About the role

Nebius is seeking a Senior Machine Learning Engineer to join their Applied AI team, focusing on optimizing model and endpoint performance. The role involves working on various aspects of model internals, including quantization, compression, and inference engine optimization. Daily tasks will include diagnosing performance issues, comparing configurations, and implementing improvements to enhance latency, throughput, and memory efficiency while maintaining quality. The engineer will collaborate with kernel and platform engineers to address serving challenges and validate optimizations through benchmarks and real-world testing. Candidates should have experience in machine learning and a strong understanding of model optimization techniques. The position is remote, allowing for flexibility in work arrangements. This role is ideal for individuals with a solid background in AI and a passion for solving complex technical problems in a collaborative environment.

How to apply

  1. Check how well your resume fits: “Analyse this for me” shows what matches and what is missing.
  2. Tailor your resume: “Resume for this vacancy” writes a version for this job.
  3. Apply on the original advert: the button below opens it.
Sign in to open it on Google

Victra collected this posting from Google. On Victra you can save it, check how well your CV fits it and get jobs like it every day.

Related jobs

Job market report·Companies