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

SupportFinity™; New York (NY); On-site; USD 171,000 - 190,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber is seeking a Software Engineer II - Machine Learning for the Marketplace/Maps/Membership/AV domains in New York. You will design, build, and productionize ML models, work with data scientists, engineers, and other partners to define requirements, and ensure low-latency, reliable model deployments.

The role emphasizes collaborating across teams driving maps, Uber One Membership, Delivery Marketplace, and Autonomous Mobility & Delivery initiatives.

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.

Responsibilities

• 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.

Skills

Programming languages

ML experience

Performance monitoring

Education

Bachelor's degree or equivalent in ML/CS/Engineering/Math

PhD in ML/AI/DS/CS/Engineering/Math

Master's degree or higher in ML/AI/DS/CS/Engineering/Math

Job description

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

Uber |

Uber | Posted Jan 15

Full-time

New York

Unknown

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

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., 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.

About the company

Uber