Senior Machine Learning Engineer

$185,000 - $205,500/Yr

Uber - Sunnyvale, CA

Full-time - Senior

Remote - Sunnyvale, CA

Transit and Ground Passenger Transportation

About the position

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. In this role, you will design, develop, and productionize machine learning (ML) solutions in the field of Search and Discovery, GenAI, QU/Ranking, and MOO optimizations. You will also be responsible for productionizing and deploying these models for real-world applications. Your work will involve designing and analyzing experiments using a combination of data analysis and statistical analysis to lead the team to reasonable inferences. You will review code and designs of teammates, providing constructive feedback, and collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product. Additionally, you will have the opportunity to mentor junior engineers, helping to foster their growth and development within the team.

Responsibilities

• 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.
• Design and analyze experiments using a combination of data analysis/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.
• Mentor junior engineers.

Requirements

• Bachelor's or Master's in Computer Science, Statistics, or a related field.
• Minimum 6 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.

Nice-to-haves

• Experience in the Search and Recommendations Field.
• Experience in Query Understanding / Ranking or solving customer problems with NLP.

Benefits

• Participation in Uber's bonus program.
• Eligibility for equity awards and other types of compensation.
• Various health and wellness benefits as detailed on the Uber careers benefits page.