Senior ML Engineer - Inferences

$185,000 - $205,500/Yr

Uber - San Francisco, CA

posted about 1 month ago

Full-time - Senior
Remote - San Francisco, CA
Transit and Ground Passenger Transportation

About the position

The Senior Machine Learning Engineer will join the Inferences team at Uber, focusing on enhancing logistical efficiency through sensor-derived inferences. This role involves leading engineering initiatives that impact millions of trips and orders daily, requiring a blend of machine learning expertise and backend engineering skills.

Responsibilities

  • Solve complex inferences and optimization problems from ideation to production.
  • Design and productionize high-throughput systems for deploying inferences and predictions.
  • Explore innovative ideas to enhance Uber's logistical efficiency across product verticals.
  • Collaborate with product managers, scientists, designers, and engineers to create comprehensive solutions.

Requirements

  • 5+ years of experience in machine learning or backend engineering, or 2+ years with a PhD.
  • Bachelor's degree or higher in Computer Science, Computer Engineering, or a relevant technical field.

Nice-to-haves

  • 2+ years of experience in machine learning, AI, optimization, signal processing, or operational research.
  • Experience with large scale data processing frameworks like Apache Spark, Hive, or Presto.
  • Proficiency in Java, Scala, or Golang, and scripting languages like Python or shell scripts.
  • Technical leadership experience and project ownership.
  • Experience in architecting large scale production software applications.
  • Masters or PhD in Computer Science or a related field.

Benefits

  • Base salary range of USD$185,000 - USD$205,500 per year.
  • Eligibility for Uber's bonus program and potential equity awards.
  • Various employee benefits as detailed on Uber's careers page.
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