Senior Machine Learning Engineer - Ranking and Recommendations

Senior Machine Learning Engineer - Ranking and Recommendations

Join to apply for the Senior Machine Learning Engineer - Ranking and Recommendations role at Uber

The Shopping Ranking Team mission is enabling eaters to effortlessly make shopping decisions and find what they need. We pursue this mission via an ML-driven algorithmic approach, applying state-of-the-art Machine Learning (ML) and Optimization techniques to learn from massive datasets Uber has, and building a scalable and reliable shopping intelligence ranking and recommendation system.

• Design and build Machine Learning models in Ranking and Recommendation domain.
• 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.

• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full‑time engineering experience.
• 4+ 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 such as HDFS, Hive, Map Reduce, Spark, etc.
• Working knowledge of latest ML technologies and libraries such as PyTorch, Tensor Flow, Ray, etc.
• Proven track record of being a fast learner and go‑getter, with willingness to get out of the comfort zone.

• Experience building ranking and recommendation systems in production, making practical trade‑offs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
• Experience 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 design and architecture of ML systems and workflows.
• Experience owning and delivering a technically challenging, multi‑quarter project end to end.

Salary and Benefits

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 Seattle, WA-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. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award and other types of compensation. You will also be eligible for various benefits. More details can be found at

Seniority level
:
Mid‑Senior level

Employment type
:
Full‑time

Job function
:
Engineering and Information Technology

Industries
:
Internet Marketplace Platforms

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