Uber
Senior Machine Learning Engineer - Ranking and Recommendations
Uber, San Francisco, California, United States, 94199
Senior Machine Learning Engineer – Ranking and Recommendations
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Senior Machine Learning Engineer – Ranking and Recommendations
role at
Uber .
About The Role The Shopping Ranking Team’s mission is to enable 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 to build scalable and reliable shopping intelligence ranking and recommendation systems.
What the Candidate Will Do
Design and build Machine Learning models in the 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.
Basic Qualifications
Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or a related field, with 4+ years of full‑time engineering experience.
4+ years of ML experience and building ML models.
Experience working with multiple cross‑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, MapReduce, Spark.
Working knowledge of the latest ML technologies and libraries, such as PyTorch, TensorFlow, Ray.
Proven track record as a fast learner and go‑getter, with willingness to step outside of comfort zones.
Preferred Qualifications
Experience building ranking and recommendation systems in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
Experience taking on vague business problems, translating them into ML + Optimization formulations, identifying the right features, model structure, and optimization constraints, and delivering business impact.
Experience with the design and architecture of ML systems and workflows.
Experience owning and delivering a technically challenging, multi‑quarter project end to end.
For New York, San Francisco, Seattle, Sunnyvale, and all US locations, the base salary range for this role is USD$198,000 per year – USD$220,000 per year. You will also be eligible to participate in Uber’s bonus program, may be offered an equity award and other types of compensation, and will receive various benefits. More details can be found at https://www.uber.com/careers/benefits.
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Senior Machine Learning Engineer – Ranking and Recommendations
role at
Uber .
About The Role The Shopping Ranking Team’s mission is to enable 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 to build scalable and reliable shopping intelligence ranking and recommendation systems.
What the Candidate Will Do
Design and build Machine Learning models in the 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.
Basic Qualifications
Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or a related field, with 4+ years of full‑time engineering experience.
4+ years of ML experience and building ML models.
Experience working with multiple cross‑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, MapReduce, Spark.
Working knowledge of the latest ML technologies and libraries, such as PyTorch, TensorFlow, Ray.
Proven track record as a fast learner and go‑getter, with willingness to step outside of comfort zones.
Preferred Qualifications
Experience building ranking and recommendation systems in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
Experience taking on vague business problems, translating them into ML + Optimization formulations, identifying the right features, model structure, and optimization constraints, and delivering business impact.
Experience with the design and architecture of ML systems and workflows.
Experience owning and delivering a technically challenging, multi‑quarter project end to end.
For New York, San Francisco, Seattle, Sunnyvale, and all US locations, the base salary range for this role is USD$198,000 per year – USD$220,000 per year. You will also be eligible to participate in Uber’s bonus program, may be offered an equity award and other types of compensation, and will receive various benefits. More details can be found at https://www.uber.com/careers/benefits.
#J-18808-Ljbffr