Leader in robotic automation solutions

ML Infrastructure Engineer

South Bay AreaOn-site$220K - $350K5+ years
As a rapidly growing company that's revolutionizing the way businesses approach repetitive tasks, we're seeking an experienced ML Infrastructure Engineer to join our team in the South Bay Area of San Francisco. In this role, you'll have the opportunity to design and implement scalable infrastructure for our machine learning models, leveraging technologies like PyTorch, Kubernetes, and cloud services. Your work will have a direct impact on the development of our intelligent robotic arms, driving innovation in the robotics and AI industry. You'll collaborate closely with our team of engineers to ensure seamless model deployment and maintenance.

What they're looking for

  • 5+ years of experience in ML infrastructure engineering
  • Proficiency in PyTorch, Docker, and container orchestration
  • Experience with cloud platforms such as GCP and AWS
  • Strong Python programming skills and experience with Kubernetes

Tech stack

PyTorchKubernetesGCPAWSDockerPython

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This role is one we're recruiting for on behalf of a client company; the client's identity is kept confidential at this stage. A Fluency recruiter will follow up with details.

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