Sr Machine Learning Engineer (multiple teams hiring)

$185,000 - $205,500/Yr

Uber - San Francisco, CA

Full-time - Mid Level

Remote - San Francisco, CA

Transit and Ground Passenger Transportation

About the position

The Sr Machine Learning Engineer role at Uber involves designing and building machine learning models with optimization engines to enhance marketplace experiences. The position is integral to teams focused on coordinated structural pricing and marketplace intelligence, aiming to optimize pricing strategies and mitigate negative customer experiences through advanced machine learning techniques. The role requires collaboration with cross-functional teams and the ability to translate complex business problems into actionable machine learning solutions.

Responsibilities

• Design and build Machine Learning models with optimization engines.
• Productionize and deploy these models for real-world application.
• Review code and designs of teammates, providing constructive feedback.
• Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.

Requirements

• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience or PhD with 2+ years of full-time engineering experience.
• Experience working with multiple multi-functional teams (product, science, product ops, etc.).
• Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).

Nice-to-haves

• 3+ years of ML economics experience and building ML economic models.
• Experience with the design and architecture of ML systems and workflows.
• Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
• Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact.
• Experience with optimizing Spark queries for better CPU and memory efficiency.
• Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, JAX, Ray, etc.
• Experience owning and delivering a technically challenging, multi-quarter project end to end.
• Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, etc.

Benefits

• Base salary range of USD$185,000 - USD$205,500 per year depending on location.
• Eligibility to participate in Uber's bonus program.
• Potential equity award and other types of compensation.
• Various benefits as detailed in Uber's benefits link.