About The Role
We are looking for a highly motivated Machine Learning Engineer to join the Uber Eats Search and Discovery Team. You will play a critical role in enhancing the search experience for millions of Uber Eats users worldwide. You will leverage your expertise in data analysis, machine learning, and engineering to drive insights and optimize search algorithms, ultimately improving user satisfaction and operational efficiency.
What the Candidate Will Do
- Design, develop, and productionize machine learning (ML) solutions in areas such as Search and Discovery, GenAI, QU/Ranking, and MOO optimizations.
- Productionize and deploy these models for real-world applications.
- Design and analyze experiments using a combination of data analysis and statistical analysis to lead the team to reasonable inferences.
- Review code and designs of teammates, providing constructive feedback.
- Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.
Basic Qualifications
- Bachelor's or Master's in Computer Science, Statistics, or a related field.
- Experience with a strong focus on machine learning and optimization.
- Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
- Solid understanding of statistical analysis and feature engineering techniques.
- Excellent communication and collaboration skills.
- Ability to work independently and take ownership of projects.
- Experience using SQL in a production environment.
Preferred Qualifications
- Experience in experimental design and analysis, exploratory data analysis, and statistical analysis.
- Experience with dashboarding and using data visualization tools.
- Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar.
- Experience in the Search and Recommendations Field.
- Experience in Query Understanding / Ranking or solving customer problems with NLP.
- Experience developing end-to-end GenAI products.
Compensation
For Sunnyvale, CA-based roles, the base salary range for this role is USD $158,000 per year - USD $175,500 per year. You will be eligible to participate in Uber's bonus program and may be offered an equity award and other types of compensation. You will also be eligible for various benefits.
Benefits Extracted with AI
- Bonus program
- Equity award
- Health insurance
- Paid vacation
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