Senior Engineering Manager - Machine Learning

Senior Engineering Manager - Machine Learning

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Senior Engineering Manager - Machine Learning

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Join to apply for the Senior Engineering Manager - Machine Learning role at Uber

About The Role
We're looking for an experienced and visionary

About The Role
We're looking for an experienced and visionary Senior Machine Learning Manager to lead the ML strategy and execution for Uber Grocery's Catalog team . This team powers every single consumer-facing experience in the Uber Eats app -from what users see when they open the app to the products they choose at checkout.
As the ML leader on this team, you'll be responsible for building and scaling a diverse range of AI/ML systems that make sense of vast, complex, and ever-evolving grocery data. This includes everything from deep semantic understanding of catalog items to large-scale inventory forecasting and novel computer vision applications that integrate directly with courier workflows. You'll guide a team of talented ML engineers and collaborate cross-functionally with product, design, operations, and platform teams to shape the future of grocery shopping on Uber Eats.
About The Team
The Catalog team sits at the heart of Uber Grocery. If you've ever searched for an item, scrolled through a carousel, or tapped on a product to see more info- that's our work in action . We provide the foundational intelligence that powers the Uber Eats grocery experience.
From an ML perspective, our scope is vast and challenging:

• Catalog Understanding & Enrichment : We build models that determine what each item really is-its brand, flavor, color, and what kinds of customers might prefer it. Our enrichment models help transform raw merchant data into a delightful user experience.
• Product Relationships : Our systems learn how products relate to one another-what's a substitute, what's often bought together, and what combinations drive better outcomes for both customers and merchants.
• Inventory Forecasting : Grocery inventory is volatile and high-stakes. Our team builds and maintains large-scale ML forecasting systems to predict availability and reduce substitutions-at a scale few companies ever reach.
• Computer Vision for Real-World Mapping : We're pushing the frontier of real-time store mapping using computer vision. Couriers use their phone cameras to help digitize physical grocery stores, feeding our inventory systems with real-time data.
  

We're tackling some of the hardest, most high-impact problems in the grocery and ML space-at Uber scale. The team is rapidly growing with high impact and visibility from the top. We are responsible for developing state of the art technology to optimize the pricing and incentives strategy in our platform that directly drives efficiencies and effectiveness across user interactions with Uber.
Minimum Qualifications

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 4-years full-time Software Engineering work experience OR 10-years full-time Software Engineering work experience, WHICH INCLUDES 4-years total technical software engineering experience in one or more of the following areas:
• Note the 4-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.
• Programming language (e.g. C, C++, Java, Python, or Go)
• Large-scale training using data structures and algorithms
• Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
• Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
• 4+ years of people management experience
  

Technical skills:
Required

• Deep Learning
• Scalable ML architecture
• Experience in applying machine learning models to solve large-scale real-world problems
  

Preferred

• Personalization, user understanding and targeting
• Optimization (RL/Bayes/Bandits)
• Causal inference
  

For New York, NY-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Internet Marketplace Platforms

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