Software Engineer II

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., 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.

• 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., * 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