What are the responsibilities and job description for the Senior ML Engineer - Autonomous position at Uber Corporate?
Job Details
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
- Explore novel ideas towards improving the operational efficiency and value of autonomous vehicles and robots across Uber's platforms
- Design and productionize high-throughput systems to deploy inferences and predictions used by millions of users per day
- Partner with product managers, scientists, designers, and engineers to develop holistic solutions to real world problems
Basic Qualifications
- Bachelor's degree or higher in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
- 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
- Experience developing and debugging in large scale data processing frameworks such as Apache Spark, Hive, and/or Presto
- Knowledge of development and debugging in Java, Scala, or Golang, and experience with scripting languages such as Python and/or shell scripts
- Experience in technical leadership, working with teams, owning projects, defining and setting technical direction for projects
- Experience architecting large scale, production software applications
- Experience productionizing applied machine learning solutions towards solving business or product challenges
- Masters degree or PhD in Computer Science or a related technical field
- Have extensive prior experience building and maintaining production machine learning systems
- 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
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 [](;br>
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this 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
- Explore novel ideas towards improving the operational efficiency and value of autonomous vehicles and robots across Uber's platforms
- Design and productionize high-throughput systems to deploy inferences and predictions used by millions of users per day
- Partner with product managers, scientists, designers, and engineers to develop holistic solutions to real world problems
Basic Qualifications
- Bachelor's degree or higher in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
- 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
- Experience developing and debugging in large scale data processing frameworks such as Apache Spark, Hive, and/or Presto
- Knowledge of development and debugging in Java, Scala, or Golang, and experience with scripting languages such as Python and/or shell scripts
- Experience in technical leadership, working with teams, owning projects, defining and setting technical direction for projects
- Experience architecting large scale, production software applications
- Experience productionizing applied machine learning solutions towards solving business or product challenges
- Masters degree or PhD in Computer Science or a related technical field
- Have extensive prior experience building and maintaining production machine learning systems
- 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
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 [](;br>
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $198,000 - $220,000
