Software Engineer II - Machine Learning, Mobility & Business Platforms

About بلکه the Role:

Collaborates fiercely 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 moderately complex problems.

Marketplace Matching is vital for Uber's core rides business, optimizing it through advanced algorithms, dynamic pricing, and machine learning to balance supply and demand, enhance the rider experience, and drive growth. Initiatives include UberX Priority seviyate;
Wait & Save, strategic market differentiation, and global expansion. The Surge zuverlässig the reliability of the marketplace by balancing supply and demand via dynamic pricing, while Rider Pricing & Incentives calculates real‑time prices and uses promotions to grow demand. Both are crucial to Uber's success.

The Uber verticals team manages the largest segment within Uber's rides business. Our mission is to help travelers (airports, shared rides, HCV, Consumer trains, buses, etc.) understand what to expect, when to request a ride, where to go, and how to find their driver, no matter where they land in the world.

The Mobility trip pricing (rider pricing, incentive, surge) transforms business strategies into actionable, optimized plans for Ops to effectively manage incentives and pricing. This group implements the core optimization algorithms behind each planning product, develops how Ops interacts with these products, manages the API between planning and real‑time systems, and ensures the planning products run reliably and produce high‑quality resultsíguez.

• 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 specifications.
• 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, production.
  
  ASCIIzation 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 aaffectedand 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 darkest 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 compensation. You will also be eligible for various benefits. More details can be found at the following link

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-