Software Engineer II - Machine Learning, Marketplace/Maps/Membership/AV

Uber

Seattle, WA

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JOB DETAILS

SALARY

$171,000–$190,000 Per Year

SKILLS

Algorithms, Analysis Skills, Artificial Intelligence (AI), Audiovisual, C++ Programming Language, Code Reviews, Communication Skills, Computer Science, Continuous Improvement, Data Processing, Data Science, Data Structures, Delivery Driving, Develop Methodologies, Documentation, Ecosystems, Food Delivery, High Reliability, Hyperion Pillar, Industry/Trade Analysis, Integration Testing, Java, Logistics, Machine Learning, Mathematics, Optimization Algorithm, Performance Analysis, Performance Modeling, Problem Solving Skills, Production Machining, Programming Languages, Python Programming/Scripting Language, Requirements Management, Scalable System Development, Software Engineering, Unit Test

LOCATION

Seattle, WA

POSTED

21 days ago

**About the Role** Collaborates with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve moderately complex problems. **About the Team** **(We are hiring for multiple teams)** We are building the future of Uber's mobility and logistics platforms. As a software engineer, you will contribute to high-scale, strategically critical systems that impact millions of users and redefine the global transportation and membership landscape. Our teams drive innovation across critical areas including: + **Maps & Routing:** Building the core technologies for location accuracy, sensor data processing, and state-of-the-art routing algorithms to power ETAs, navigation, and matching for all Uber products. + **Uber One Membership:** Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform. + **Delivery Marketplace:** Delivery Marketplace is a central pillar of Uber's delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B - from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We're responsible for everything: from dispatch decisions, predicting food ready time, delivery times, and optimizing pickup times, to ensuring we deliver the most efficient and impactful solutions for Uber's most critical business goals + **Autonomous Mobility & Delivery (AM&D):** Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats. **What You'll Do** + Design, build, and deploy scalable machine learning models to production to solve real-world business problems. + Collaborate with cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specification + Write clean, testable, and efficient code to ensure models run with low latency and high reliability. + Implement monitoring systems to track model performance, stability, and data drift in live environments. + Stay up-to-date with standard machine learning algorithms and industry trends to continuously improve our tech stack. **Basic Qualifications:** + Bachelor's degree or equivalent in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Machine Learning work experience OR PhD in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field + Proficiency in at least one programming language such as Java, C++, Python, or Go + 1 year of experience with ML algorithms/modeling- developing, training, productionization and monitoring of ML solutions at scale. **Preferred Qualifications:** + Master's degree or higher in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field. + More than 3 years of full-time machine learning work experience + Experience with the full ML lifecycle (at Uber Scale), including model deployment, containerization and workflow orchestration. + Experience in translating ambiguous business problems into technical solutions in a structured and principled way. + Strong communication skills, including through documentation and design discussions + Experience with optimization techniques and algorithmic development + Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis + High bar for quality as demonstrated by code reviews, documentation, unit and integration testing For New York, NY-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits. Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

About the Company

Uber

We ignite opportunity by setting the world in motion

Good things happen when people can move, whether across town or towards their dreams. Opportunities appear, open up, become reality. What started as a way to tap a button to get a ride has led to billions of moments of human connection as people around the world go all kinds of places in all kinds of ways with the help of our technology.

We’re building something people use every day. From how you get home from work, to how you eat meals, or how you move huge shipments of absolutely anything, the work we contribute moves the world a few steps forward. And that’s one of the best parts about working here—knowing that the work you do helps shape the future.

And getting to that bright future means solving some of the most difficult problems of the present. It takes a lot of hard work, a lot of love, and support from colleagues all over the world. At Uber, we have brought together a world-class collective of problem-solvers. And we all fundamentally understand that tough challenges help us personally grow the most. That’s why we wholeheartedly believe in learning by doing—and that there is no better classroom than real-world experience. Because if it helps you grow, then we all grow. Together.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

2009

WEBSITE

https://www.uber.com/

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