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Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Job Responsibility:
Design and build Machine Learning (ML) models with optimization engines
Productionize and deploy models for real-world application
Review code and designs of teammates, providing constructive feedback
Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on product
Design architecture of ML systems and workflows
Design and productionize model infrastructure and systems to improve model performance
Build algorithmic solutions in production, make practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments
Take on business problems, translating them into ML plus Optimization formulation, identifying the right next steps to improve model performance, and delivering business impact
Own and deliver technically challenging, multi-quarter projects end to end
Requirements:
Building and improving predictive models and optimizers
Advanced modeling packages such as Tensorflow or PyTorch
Statistical analysis and data engineering techniques
Model architectures and tech stack
Designing, developing, optimizing, and productionizing machine learning solutions for complex, high-impact problems
Programming languages such as Python
Accessing databases in a production environment
Leveraging distributed compute frameworks to enable scalable computation