Senior ML Engineer - Optimization

About The Role

We are looking for a highly-motivated, entrepreneurial machine learning practitioner to join our Autonomous Optimization team, which maximizes marketplace value of autonomous vehicles across Uber's Rides and Delivery platforms. As a senior machine learning engineer on the team, you will pioneer engineering, modeling, and optimization initiatives that bring autonomous vehicles into sustainable, general availability.

What You Will Do

• Work on solving complex inferences and optimization problems end-to-end, from problem ideation and model design to productionization
• Design and productionize high-throughput systems to deploy inferences and predictions used by millions of users per day
• Explore novel ideas towards improving the operational efficiency and value of autonomous vehicles and robots across Uber's platforms
• Partner with product managers, scientists, designers, and engineers to develop holistic solutions to real world problems
• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
• Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
  
  

Basic Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 4 years of experience in the domain of machine learning or backend engineering, or 2 years if you have a PhD
• 2 years of experience in one or more of the following areas: machine learning, artificial intelligence, optimization, operational research, or related technical fields
• Knowledge of development and debugging in Java, Scala, or Golang, and experience with scripting languages such as Python and/or shell scripts
  
  

Preferred Qualifications

• Experience designing, building, and maintaining production machine learning systems
• Experience developing and debugging in large scale data processing frameworks such as Apache Spark, Hive, and/or Presto
• Experience architecting large scale, production software applications
• Experience productionizing applied machine learning solutions towards solving business or product challenges
  
  

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.