Uber Corporate
Staff Machine Learning Engineer
San Francisco, California, USA · Staff+ · Full-time
Sponsorship not specified$232k-$258kDetected 105 days ago
PythonJavaGoScalaDistributed SystemsAlgorithmsSQLMachine LearningDeep LearningTensorFlowPyTorchscikit-learnSparkData EngineeringMLOpsStatisticsResearchCollaborationProblem Solving
About the role
- For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.
- For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.
Responsibilities
- Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).
- Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.
- Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.
- Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress.
Requirements
- Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn),
Nice to have
- All full-time employees are eligible to participate in a 401(k) plan.
- More details can be found at the following link [](;br> Uber's mission is to reimagine the way the world moves for the better.
- What moves us, moves the world - let's move it forward, together.
- Uber is proud to be an Equal Opportunity employer.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
- Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.
- For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time.
- Please speak with your recruiter to better understand in-office expectations for this role.
Compensation
- The base salary range for this role is USD$232,000 per year - USD$258,000 per year.
Benefits
- You will also be eligible for various benefits.
- Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.
- 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.
Equal opportunity
- Equal Opportunity employer.
- If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br> Offices continue to be central to collaboration and Uber's cultural identity.
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This listing is sourced directly from Uber Corporate's careers page and normalized into a canonical job model.