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 for their Applied AI team 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 hold a Master's or PhD in Computer Science, Engineering, Mathematics, or a related field, and you have at least 2 years of software engineering experience or 5 years in a relevant role. You possess a strong foundation in classical machine learning, deep learning, and generative AI, and you are passionate about applying these technologies to solve real-world business problems. Your experience includes building production-ready ML systems and infrastructure, and you are familiar with best practices in the ML development lifecycle, including data versioning and model evaluation.

You thrive in collaborative environments, working closely with product, data science, and engineering teams to execute on technical visions and roadmaps. You have a keen understanding of how to translate business needs into effective AI solutions, and you are committed to delivering high-quality, impactful results. Your strong problem-solving skills enable you to tackle complex challenges, and you are dedicated to adopting responsible AI practices in your work.

Desirable

Experience with ML infrastructure and deployment tools is a plus, as is familiarity with cloud platforms like AWS or GCP. You may also have experience in specific domains such as personalization or computer vision, which would further enhance your contributions to the team.

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 with product, science, and engineering teams to execute on the technical vision and roadmap for Applied AI initiatives. 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 your solutions are robust and scalable.

You will also be tasked with delivering enduring value in the form of software and model artifacts, contributing to the overall success of Uber's AI initiatives. Your role will require you to stay updated on the latest advancements in AI and machine learning, and you will be encouraged to share your knowledge and insights with your team. You will play a key role 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, and you will be supported in your professional growth and development. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.

Join us at Uber and help us deliver the next wave of intelligent experiences through applied AI. We look forward to your application.

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