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Senior ML Engineer

AT Uber
Uber

Senior ML Engineer

Bangalore, India

About the Role

Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems.

We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc..

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In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space.

---- What the Candidate Will Do ----
  1. Identify and choose the right problems that will benefit from ML expertise.
  2. Design and develop a suite of ML models that will help solve the above problems.
  3. Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms.
  4. Explore novel ideas and innovative solutions that can lead to a step change in our products
  5. Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly.
  6. Write clean, modular, and maintainable code.
  7. Conduct code reviews and ensure high code quality standards.
  8. Keep up to date with the latest ML technologies and best practices.

---- Basic Qualifications ----
  1. Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline.
  2. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI.
  3. Exceptional coding skills, demonstrated by the ability to write clean, elegant, and bug-free code in languages such as Java or Go.
  4. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems.
  5. Excellent problem-solving and analytical abilities.
  6. Proven ability to collaborate effectively as a team player.

---- Preferred Qualifications ----
  1. 5+ years of industry experience in ML/AI.
  2. Proven track record of training large models on distributed infrastructure.
  3. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach.
  4. Experience collaborating effectively across an organization, not limited to just within teams.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

Client-provided location(s): Bengaluru, Karnataka, India; Hyderabad, Telangana, India
Job ID: Uber-145414
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • FSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Fertility Benefits
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Pet-friendly Office
    • Snacks
    • Some Meals Provided
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • Company Equity
    • Performance Bonus
  • Professional Development

    • Work Visa Sponsorship
    • Associate or Rotational Training Program
    • Promote From Within
    • Mentor Program
    • Access to Online Courses
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program