Kolkata, West Bengal, India
Information Technology
Full-Time
Uber
Overview
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 Need / Bonus Points - What the Candidate Will Do -
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 Need / Bonus Points - What the Candidate Will 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.
- Bachelor's or Master's in Computer Science, Statistics, or a related field or Equivalent Experience
- Minimum 3 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.
- Experience in the Search and Recommendations Field.
- Experience in Query Understanding / Ranking or solving customer problems with NLP
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