Senior ML Engineer - Inferences

$185,000 - $205,500/Yr

Uber - San Francisco, CA

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.