Uber is looking for a machine learning engineer to pioneer engineering, modeling, and optimization initiatives that bring autonomous vehicles into sustainable, general availability, maximizing marketplace value of autonomous vehicles across Uber's Rides and Delivery platforms.
Requirements
- 2+ years of experience in the domain of machine learning, artificial intelligence, optimization, operations research, or software engineering, or a PhD in relevant domains
- Knowledge of development and debugging in Java, Scala, or Golang, and experience with scripting languages such as Python and/or shell scripts
- Experience in the domains of operations research, machine learning, transportation engineering, artificial intelligence, optimization, or software engineering
- Experience developing algorithms and models for large-scale optimization problems.
- Experience with optimization packages such as Gurobi, CPLEX, and OR Tools.
- Experience designing, building, and maintaining production machine learning systems
- Experience productionizing applied machine learning solutions towards solving business or product challenges
Responsibilities
- 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
Other
- motivated, entrepreneurial machine learning & operations research practitioner
- 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
- Bachelor's degree (or higher) in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
