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ML Engineer II

ML Engineer II

ConfidentialBengaluru / Bangalore
30+ days ago
Job description
  • 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..
  • 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 Need / Bonus Points

    What the Candidate Will Do

    • Design and develop large-scale machine learning models systems
    • Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms.
    • Write clean, modular, and maintainable code.
    • Conduct code reviews and ensure high code quality standards.
    • Keep up to date with the latest ML technologies and best practices.

      • Basic Qualifications

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

      • Preferred Qualifications

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

      • Skills Required

      Python, Tensorflow, Pandas, Numpy, Sql, Docker, Git

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    Ml Engineer • Bengaluru / Bangalore