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Machine Learning Engineer - Remote

Posted 14 weeks ago
Software Development
Full Time
CA, USA

Overview

We are seeking skilled engineers to join our Machine Learning Platform team working on optimising large scale training jobs as we aim to scale our models through the next order of magnitude.

In Short

  • Maximising the MFU of our large scale training jobs.
  • Profiling and identifying bottlenecks in training code.
  • Implementing GPU kernels to improve training throughput.
  • Working closely with Research teams to integrate and test training efficiency improvements.
  • Owning and improving our GPU training clusters.

Requirements

  • 5+ years experience in performance optimization or ML engineering.
  • Experience optimize large scale training jobs on GPU compute clusters.
  • Experience in working in platform teams and working with research teams.
  • Experience in reporting and tracking over time benchmarked performance in an open and accessible way.
  • Ability to write high quality, well-structured and tested Python code.
  • BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience.

Benefits

  • Hybrid working policy combining office and remote work.
  • Core working hours for flexible scheduling.

Wayve

Wayve

Wayve is an innovative technology company focused on developing the world's first AV2.0 Driver, leveraging advanced machine learning and engineering practices. The company fosters a collaborative environment where multi-disciplinary teams work together to build and iterate on autonomous vehicle technologies. With a commitment to continuous improvement and a culture that encourages learning and coaching, Wayve is at the forefront of redefining the future of autonomous driving. Based in London, Wayve embraces a hybrid working model that balances in-office collaboration with remote work, promoting innovation and strong team relationships.

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