Uber Senior Machine Learning Engineer 

United States, West Virginia 

186149879

About the Role

- - - - What the Candidate Will Do ----

1. Own the entire lifecycle of ML solutions , from understanding ambiguous business challenges to deploying and maintaining high-impact models in production.
2. Translate complex business problems into clear ML and optimization formulations , identifying the right features, model structures, and optimization constraints to deliver measurable business impact.
3. Innovate and apply advanced ML and optimization techniques to solve real-world problems that directly improve Uber's marketplace efficiency and ensure seamless, high-quality user experiences.
4. Productionize modeling solutions into scalable, robust, and reliable systems.
5. Collaborate closely with cross-functional and cross-team stakeholders to understand their needs and deliver impactful solutions.

- - - - Basic Qualifications ----

1. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field, with 5+ years of full-time engineering experience.
2. Proven experience designing, implementing, and owning machine learning models in production environments , with a focus on solving business problems rather than just optimizing theoretical performance.
3. Strong understanding of large-scale data and training systems (e.g., Spark, Hive).
4. Excellent problem-solving and analytical skills, with a track record of translating vague problems into actionable ML strategies.
5. Proficiency in at least one programming language (e.g., C++, Java, Python, or Go).

- - - - Preferred Qualifications ----

1. PhD in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field, with 3+ years of full-time engineering experience.
2. Demonstrated experience in taking end-to-end ownership of complex, ambiguous business problems , formulating them into ML and optimization challenges, and delivering significant business impact.
3. A strong desire to apply modeling techniques to pragmatic solutions that directly impact users and the business.

For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.