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Machine Learning Engineer


Generative AI

Latest Job

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ABOUT THIS ROLE

  • / United States (Remote)
  • / Permanent
  • /
REF: 0

A generative AI scale-up that is building out responsible LLMs to rival the big players such as OpenAI, Anthropic, Google and Microsoft is looking for multiple Machine Learning Engineers at all levels of seniority.

They are in an exciting period of growth and as an ML Engineer, you’d be responsible for the deployment and management of ML models at scale.

Machine Learning Engineer Responsibilities

  • Design, implement, deploy, and manage ML algorithms
  • Work closely with Researchers, Product, Platform and Software
  • Work with real-time, multimodal data

Machine Learning Engineer Requirements

  • Graduate degree in relevant STEM subject (ideally CompSci)
  • 2+ years of experience deploying models into production as an ML Engineer
  • Strong Python experience (Scala, Java, R, Haskell would be nice to have)
  • Platform/MLOps experience with Kubernetes, Docker is beneficial

You will work as part of a small, high-performing remote team with high levels of ownership, working end to end.

You’ll receive a bonus as well as RSUs, 401k, medical, dental, vision and unlimited PTO.

Please do not hesitate to apply if you want to build game-changing LLMs!

At Orbis Group, we are committed to creating an inclusive and diverse workplace. Research indicates that candidates, especially from underrepresented backgrounds, often hesitate to apply for jobs if they don't meet every qualification.

If you're excited about a role but don't perfectly align with every requirement, we encourage you to apply. Your unique skills and experiences may be the perfect fit for the job or other opportunities that arise.

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