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Home›Jobs›Uber›ML Engineer II
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

ML Engineer II

Uber • Bangalore, IND

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

Skills & Technologies

Machine learningNatural Language ProcessingData analysisStatistical analysisGenerative ai

Overview

Uber is seeking a Machine Learning Engineer II to design and productionize ML solutions for customer support. You'll work with technologies like NLP and generative AI to enhance user satisfaction. This role requires 5+ years of experience in machine learning and optimization.

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 expertise includes designing and developing machine learning solutions, particularly in the realm of customer support engineering. You are familiar with generative AI algorithms and have experience in NLP for query understanding and response ranking. You have a solid understanding of data analysis and statistical methods, enabling you to design and analyze experiments effectively. You are also comfortable reviewing code and designs, providing constructive feedback to your teammates, and mentoring junior engineers.

Desirable

Experience with ML packages and frameworks is a plus, as is a background in deploying machine learning models in real-world applications. You thrive in collaborative environments, working closely with cross-functional teams to brainstorm innovative solutions and iterate on products. Your ability to drive insights and identify tech-driven product innovations will be key to improving user satisfaction and operational efficiency.

What you'll do

In this role, you will design, develop, and productionize machine learning solutions that enhance the customer support experience for millions of Uber Eats users. You will leverage your expertise in generative AI and NLP to create algorithms that optimize query understanding and response ranking. Your responsibilities will include productionizing and deploying these models for real-world applications, ensuring they meet the needs of our users. You will also design and analyze experiments using a combination of data analysis and statistical methods to lead your team to reasonable inferences. Collaboration is key, as you will work with cross-functional teams to brainstorm new solutions and iterate on existing products. Additionally, you will mentor junior engineers, helping them grow in their roles and contribute effectively to the team.

What we offer

At Uber, we believe in fostering a culture of innovation and collaboration. You will have the opportunity to work on cutting-edge technologies that impact millions of users worldwide. We offer a competitive salary and benefits package, along with a supportive work environment that encourages professional growth. You will be part of a team that values your contributions and provides opportunities for you to make a significant impact in the field of machine learning and customer support engineering.

Interested in this role?

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