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Senior Machine Learning Engineer


AI, Software, Development

Latest Job

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ABOUT THIS ROLE

  • / United States (Remote)
  • / Permanent
  • / $200 000 -$220 000
REF: 10771

Job Title: Senior Machine Learning Engineer

Location: Remote (US-based only)

Salary: $200,000 – $220,000 + Bonus + Equity

Our client, a generative AI scale-up, is building large-scale Large Language Models (LLMs) to compete with industry giants like OpenAI, Anthropic, Google, and Microsoft. As the company is entering an exciting growth phase, they are looking for multiple Machine Learning Engineers at all levels to help deploy and manage ML models at scale.

Machine Learning Engineer Responsibilities:

  • Design, implement, deploy, and manage machine learning algorithms
  • Work closely with Researchers, Product, Platform, and Software teams
  • Handle real-time, multimodal data
  • Contribute to the development of cutting-edge AI models

Machine Learning Engineer Requirements:

  • Graduate degree in a relevant STEM field (CompSci preferred)
  • 4+ years of experience deploying models into production
  • Strong Python experience (experience with Scala, Java, R, or Haskell a plus)
  • Familiarity with Platform/MLOps tools such as Kubernetes and Docker
  • Ability to work as part of a high-performing, small, remote team
  • End-to-end ownership of projects, driving technical decisions and model deployment

Benefits:

  • Competitive salary with bonus and RSUs
  • Comprehensive benefits package including 401k, medical, dental, and vision
  • Unlimited PTO

If you’re ready to be part of a game-changing company in the AI space and want to contribute to the next generation of LLMs, don’t hesitate to apply!

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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