Sr Software Engineer - Machine Learning, Marketplace​/Maps​/Membership​/AV

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About the Role:

Partners with stakeholders to design, develop, optimize, and product ionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve complex problems with multiple dependencies. This role also leads team efforts to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems.

## 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

* Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.

* 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.

* Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment

* Stay up-to-date with standard machine learning algorithms and industry trends to continuously improve our tech stack.

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Basic Qualifications:

* Bachelor's degree or equivalent in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 3 year of full-time Machine Learning work experience OR PhD 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

* Proficiency in at least one programming language such as Java, C++, Python, or Go

* 3 years of experience with ML algorithms/modeling- developing, training, productionization and monitoring of ML solutions at scale.

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Preferred Qualifications:

* Master's degree or higher in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field.

* More than 5 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 $202,000 per year - USD $224,000 per year.

For San Francisco, CA-based roles:
The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For Seattle, WA-based roles:
The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For Sunnyvale, CA-based roles:
The base salary range for this role is USD $202,000 per year - USD $224,000 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 []().

Uber's mission is to…