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 You'll Do:
- Design, develop, and productionize machine learning (ML) solutions in the field of Search and Discovery, GenAI, QU/Ranking, MOO optimizations.
- Productionize and deploy these models for real-world applications in Search.
- Design and analyze experiments using a combination of data analysis/statistical analysis to lead the team to a reasonable inference.
- 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.
- Mentor junior engineers.
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What You'll Need:
- Bachelor's or Master's in Computer Science, Statistics, or a related field or Equivalent Experience
- Minimum 7 years of experience in industry 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.
- 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.
Bonus Points if:
- Experience in the Search and Recommendations Field.
- Experience in Query Understanding / Ranking or solving customer problems with NLP
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. 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.
*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 accommodations@uber.com.