Senior Machine Learning Engineer

$185,000 - $205,500/Yr

Uber - Sunnyvale, CA

Full-time - Senior

Remote - Sunnyvale, CA

Transit and Ground Passenger Transportation

About the position

The Senior Machine Learning Engineer will be part of the Membership team at Uber, focusing on enhancing the Uber and UberEats app to create a member-first experience. This role involves collaborating with a team to design, build, and deploy machine learning models that will significantly impact Uber's operations globally. The engineer will work closely with cross-functional teams to innovate and improve product offerings, ensuring high-quality code and effective solutions to complex problems.

Responsibilities

• Design and build Machine Learning models with optimization engines.
• Productionize and deploy these models for real-world application.
• Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.
• Write high-quality code and uphold standards for testing and coverage.
• Align the team on solutions to ambiguous problems and analyze the tradeoffs of different technical solutions.
• Contribute to engineering cultivation in terms of quality, monitoring, and on-call practices.
• Find opportunities to improve how our team operates and promote standard processes.

Requirements

• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 5+ years of full-time engineering experience.
• 2+ years of ML experience and building ML models.
• 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++).
• Experience with big-data architecture, ETL frameworks and platforms.
• Solid understanding of latest ML technologies, and libraries.
• Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone.

Nice-to-haves

• 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.
• Experience owning and delivering a technically challenging, multi-quarter project end to end.

Benefits

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