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Home›Jobs›Uber›Senior ML Engineer
Uber

About Uber

Reimagining transportation for a better world

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mission Bay, San Francisco, CA💰 $15.8b⭐ 3.9
B2CTravelMarketplaceTransportRidesharingDelivery

Key Highlights

  • Public company (NYSE: UBER) since May 2019
  • Completed over 1.5 billion trips globally
  • Generated $4.8B in revenue from Uber Eats in 2020
  • Raised $15.8 billion in funding

Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...

🎁 Benefits

Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...

🌟 Culture

Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...

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Uber

Senior ML Engineer

Uber • Bangalore, IND

Posted 1w ago🏛️ On-SiteSeniorMachine learning engineer📍 Bangalore
Apply Now →

Skills & Technologies

Machine learningNatural Language ProcessingData analysisStatistical analysisGenerative ai

Overview

Uber is seeking a Senior Machine Learning Engineer to design and develop generative AI systems for customer support. You'll leverage your expertise in machine learning and data analysis to enhance user satisfaction and operational efficiency. This role requires a minimum of 5 years of experience.

Job Description

Who you are

You have a Bachelor's or Master's in Computer Science, Statistics, or a related field, or equivalent experience. With a minimum of 5 years in the industry, you have a strong focus on machine learning and optimization. Your experience includes working with machine learning packages and deploying models in real-world applications. You are skilled in data analysis and statistical analysis, enabling you to design and analyze experiments effectively. You have a collaborative mindset, enjoying brainstorming new solutions with cross-functional teams. Mentoring junior engineers is something you value, as you believe in fostering growth within your team.

Desirable

Experience with generative AI algorithms and agentic AI design at scale is a plus. Familiarity with natural language processing (NLP) for query understanding and response ranking will set you apart. You are comfortable with distillation techniques and have a keen interest in optimizing algorithms for better performance.

What you'll do

In this role, you will design, develop, and productionize machine learning solutions specifically for customer support engineering. Your focus will be on generative AI algorithms that enhance the customer support experience for millions of Uber Eats users. You will productionize and deploy these models, ensuring they are effective in real-world applications. You will lead the team in designing and analyzing experiments, using your data analysis skills to draw reasonable inferences. Reviewing code and designs of teammates will be part of your responsibilities, where you will provide constructive feedback to help improve the team's output. Collaboration with cross-functional teams will be essential as you brainstorm new solutions and iterate on the product. Additionally, you will take on a mentorship role, guiding junior engineers in their professional development.

What we offer

At Uber, you will be part of a team that is dedicated to enhancing customer support through innovative technology. You will have the opportunity to work on impactful projects that save costs and improve user satisfaction. The company fosters a culture of collaboration and continuous learning, providing you with the resources to grow your skills. You can expect a supportive environment where your contributions are valued, and your career development is prioritized. Uber is committed to creating a diverse and inclusive workplace, encouraging you to apply even if your experience doesn't match every requirement.

Interested in this role?

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