Uber

About Uber

Reimagining transportation for a better world

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mission Bay, San Francisco, CA💰 $15.8b3.9
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...

Uber

Machine Learning Engineer Senior

UberBangalore - On-Site

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Overview

Uber is hiring a Senior Machine Learning Engineer to solve business-critical problems using classical ML, deep learning, and generative AI. You'll collaborate with product, science, and engineering teams to deliver high-quality ML systems. This role requires a Master's or PhD in a related field and 2+ years of software engineering experience.

Job Description

Who you are

You have a Master's or PhD in Computer Science, Engineering, Mathematics, or a related field, along with at least 2 years of software engineering experience. Your expertise lies in classical machine learning, deep learning, and generative AI, allowing you to tackle complex business problems effectively. You are skilled in collaborating with cross-functional teams, including product managers and data scientists, to understand and address key business challenges through AI solutions. You are familiar with best practices in the ML development lifecycle, including data versioning, model training, evaluation, and monitoring, ensuring that the systems you build are robust and reliable.

You have a strong foundation in ML infrastructure and are comfortable delivering production-ready ML systems. Your experience includes working on high-impact projects that require innovative thinking and technical expertise. You are passionate about applying AI to real-world problems and are eager to contribute to a team that values collaboration and continuous improvement. You thrive in environments where you can share knowledge and mentor others, helping to elevate the team's overall capabilities.

What you'll do

In this role, you will be responsible for solving business-critical problems using a mix of classical machine learning, deep learning, and generative AI. You will collaborate closely with product, science, and engineering teams to execute the technical vision and roadmap for Applied AI initiatives at Uber. Your work will involve delivering high-quality, production-ready ML systems and infrastructure, from experimentation through deployment and monitoring. You will adopt best practices in the ML development lifecycle, ensuring that the solutions you create are sustainable and scalable.

You will be expected to deliver enduring value in the form of software and model artifacts, contributing to the overall success of Uber's AI initiatives. Your role will also involve staying up-to-date with the latest advancements in AI and machine learning, allowing you to bring innovative ideas to the table. You will play a key part in shaping the future of intelligent experiences at Uber, making a significant impact on core user and business-facing products.

What we offer

At Uber, you will be part of a high-impact team that is at the forefront of AI innovation. We offer a collaborative work environment where your contributions will be valued and recognized. You will have the opportunity to work on cutting-edge AI solutions that address real business challenges, making a tangible difference in the lives of users. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to deliver intelligent experiences that enhance the way people move and connect.

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