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Senior Machine Learning Engineer - GenAI Platform

Build customer-facing generative AI platform covering ML lifecycle from data generation to agent-building. Requires 4+ years experience in distributed systems and ML platforms, with strong product ownership.

166k – 225kSan Francisco, CAML EngineeringOnsite4+ YOE

About the role

Responsibilities

  • Play a key role in the end-to-end design and implementation of our product which is a platform for powering use cases across training and serving of generative AI models
  • Work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform
  • Have strong end-to-end product ownership, translating product requirements into user interfaces and backend distributed system design and own end-to-end implementation
  • Design and build the core platform infrastructure that supports our customer-facing product features
  • Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product

Requirements

  • 4+ years of hands-on programming experience with at least one modern language such as Python, Scala, Go, or C++
  • Strong sense of distributed systems design and experience building large-scale systems
  • Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving
  • Direct experience developing ML models is a plus but not required
  • Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability
  • Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders

Skills

PythonScalaGoC++Distributed SystemsMachine Learning PlatformsGenerative AIModel TrainingModel ServingGpu Orchestration

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