Uber Corporate

Uber Corporate

Senior Machine Learning Engineer - Moonshot AI

Sunnyvale, California, USA · Senior · Full-time

Sponsorship not specified$202k-$224kDetected 151 days ago
PythonJavaGoC++AlgorithmsCode ReviewSQLMachine LearningDeep LearningTensorFlowPyTorchNLPComputer VisionLLMsRAGMLOpsA/B TestingResearchCollaborationProblem Solving

About the role

  • The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching.
  • You'll help grow Uber AI Solutions into a leader in the space.

Responsibilities

  • We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems.
  • 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.
  • 5+ years of industry experience in ML/AI building production systems 3.
  • Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress.

Nice to have

  • Proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and programming languages (Python, Go, Java, or C++) 5.
  • Strong analytical and problem-solving abilities with proven collaborative teamwork skills Preferred Qualifications 1.
  • Experience with LLM fine-tuning techniques, prompt engineering, and building RAG systems 4.
  • Track record training large models on distributed infrastructure 5.
  • Hands-on experience with model serving, A/B testing, and ML platform toolingBackground in marketplace optimization, recommendation systems, or multi-armed bandit algorithms 6.
  • Publications or research contributions in AI/ML conferences or journals 7.
  • Experience with SQL and distributed data systems 8.
  • All full-time employees are eligible to participate in a 401(k) plan.

Compensation

  • The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

Benefits

  • Computer Vision, Natural Language Processing, Deep Learning, or Generative AI (LLMs, diffusion models, multimodal systems) 4.
  • Master's or Ph.D. in Computer Science, Machine Learning, or related field 2.
  • You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
  • You will also be eligible for various benefits.

Company info

  • 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.
  • We are in the early stages, with significant opportunities to build new ML models for the gig marketplace.
  • 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.

Equal opportunity

  • Equal Opportunity employer.
  • If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br> Offices continue to be central to collaboration and Uber's cultural identity.
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This listing is sourced directly from Uber Corporate's careers page and normalized into a canonical job model.