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Site Reliability Engineer/MLOps

Hallway

San Francisco, CA, USA

Job Type

Full Time

Workspace

Remote

Job Description

What we are looking for:

  • Ideally: prior experience with maintaining kubernetes workloads with GPU runtimes

  • Experience: SRE L3+

  • Ideally: ability to convert a Python prototype to a k8s worker in production

  • Tuning ML runtimes for accuracy and performance


Why Hallway might be a good fit:

  • You can take ownership of our Python research and design process

  • Improve and extend our models from development to production

  • Improve our data collection and generation processes

  • You have the opportunity to control the future of our animation stack

  • You will be working on the leading edge of AI tech

  • Your work will enable a new generation of content creation and user experiences!

About the company  

Avatars are virtual reflections of our true selves, allowing people to choose how they present themselves to the world. Hallway combines AI and ML with off-the-shelf hardware to empower 3D content and creativity for artists, fans, and creators. They believe this marriage between art and technology will enable an entirely new set of online experiences. They aim to radically democratize access to these tools and enable a customizable digital presence for a new generation of creators.

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