What the Candidate Will Do
- Design, build, deploy machine learning, generative ai, optimization models into Uber production systems for a wide range of applications.
- Collaborate with multi-functional teams across areas such as product, engineering, operations, and design to drive system development end-to-end from conceptualisation to productionisation.
- Understanding product performance and to find opportunities within data.
- Present findings to senior management to influence business decisions.
Basic Qualifications
- 5+ years of proven experience as a Machine Learning Scientist, Machine Learning Engineer, Software Engineer or equivalent.
- Experience in production coding and deploying ML, statistical, optimization models in real-time systems.
- Ability to use Python or other programming languages to work efficiently at scale with large data sets in production systems.
- Thought leadership to drive multi-functional projects from conceptualisation to productionisation.
- M.S., or Bachelors degree in Computer Science, Machine Learning, Statistics, Economics, Operations Research, or other quantitative fields.
Preferred Qualifications
- Experience working on ML Platforms
- Strong software engineering skills
- Experienced production user of ML frameworks such as XGBoost, Ray, Tensorflow, PyTorch, Keras, Spark etc.
- Familiarity with recent LLM advancements
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .