Senior Scientist

Há 6 dias

São Paulo, Brasil Uber Tempo inteiro

**About the team**

This position offers the chance to innovate our technology stack by utilizing the latest breakthroughs in **Deep Learning Research, LLMs, and NLP algorithms** to create intricate autonomous systems and recommendation engines throughout the Uber Eats framework.

**About the Role**
- Conduct thorough analyses of large datasets to identify trends, patterns, and opportunities for improving machine learning systems' performance.
- Design, implement, and optimize embedding/deep learning models and algorithms.
- Generate actionable insights from data and communicate findings to stakeholders across the organization.
- Work as a thought expert for your cross-functional partners, pushing the boundaries of the goals for your working group.
- Design experiments and interpret the results to draw detailed and impactful conclusions.
- Work closely with product managers, senior engineers, and other scientists to define project goals and deliver data-driven solutions.
- Stay current with the latest advancements in data science, machine learning, AI, and RecSys/search technologies.Define how your cross-functional team measures success by developing metrics in close partnership with cross-functional partners.

**Technical Skills**

**Required**
- **Senior** and/or **Staff seniority** working as an Applied Scientist, Machine Learning Engineer, or equivalent.
- Experience training/building Deep Learning, LLMs, and/or NLP models.
- Experience using Python to work with large data sets at scale.
- Experience using SQL in a production environment.
- Experience in experimental design and analysis, exploratory data analysis, and statistical analysis.Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar.

**Please note**: this hybrid position is based in São Paulo, Brazil - welcoming both local professionals and those open to relocating to São Paulo.

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