Graduate 2025 PhD Software Engineer II (Machine Learning Platform), United States

Job Description

About the Role

At Uber, engineers collaborate 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. This role also leverages and improves ML infrastructure for model development, training, deployment needs and scaling ML systems.

About the Team

The Machine Learning Platform is responsible for building the ML ecosystem and providing the tool chains for ML engineers at Uber. All critical ML applications at Uber are built and powered by this platform. The organization is formed of talented teams of engineers and ML engineers with a combination of both strong industrial and academia backgrounds. In particular, we are looking for Ph.D graduates to conduct research and studies on some of following topics: artificial intelligence (NLP/LLM, embeddings, computer vision, recommendation systems, information retrieval), distributed algorithms and systems, and high performance computing (HPC).

What You'll Do

• Drive exciting, ambitious, previously-unsolved projects from end to end
• Thrive in ambiguous product requirements
• Collaborate with product managers and machine learning engineers closely
• Make data driven decisions, with exceptional execution
• Be motivated to own projects and push them forward with independence
• Most meaningfully, have a passion to make Uber better for our customers

Basic Qualifications

• Completing or recently completed a Ph.D. program in one of the following domains: model analytics, scientific computing, algorithms, operating systems, distributed systems, and/or a related field
• Experience in Python
• Experience with some ML frameworks, such as PyTorch, TensorFlow, JAX, sci-kit, or xgBoost

Preferred Qualifications

• Strong communication skills demonstrated with cross-functional partners, such as open source contributions, teaching experience or internships, presenting at industry recognized academic conferences
• Proficiency in one or more coding languages such as Python, Java, Go, or C
• Internship experience building and productionizing machine Learning systems
• Experience in simplifying/converting business problems into technical problems or a good publishing record
• Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation

For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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. You will also be eligible for various benefits. More details can be found at the following link

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