Applied Scientist

Uber Uber · Consumer · Sunnyvale, CA · Data Science

Applied Scientist at Uber focused on building and productionizing ML/AI solutions for identity fraud detection and prevention on the Uber platform. The role involves applying various ML algorithms, including LLMs and generative AI, NLP, and time-series forecasting, to protect the platform at scale.

What you'd actually do

  1. Building machine learning and AI based solutions to detect and prevent identity fraud on Uber platform.
  2. Apply a variety of ML algorithms to protect Uber’s platform from being abused, including ML and DL models, LLMs and generative AI, NLP models, time-series forecasting, and other supervised/unsupervised models.
  3. Work cross-functionally with product, decision scientists and engineers to productionize the ML model from 0 to 1.
  4. Continuously innovate and apply state-of-the-art ML algorithms at Uber scale.

Skills

Required

  • Machine Learning
  • Artificial Intelligence (AI)
  • LLMs
  • TensorFlow
  • PyTorch
  • SQL
  • Python
  • Statistics
  • Natural Language Processing
  • GenAI
  • Computer Vision

What the JD emphasized

  • productionize the ML model from 0 to 1
  • Uber scale

Other signals

  • productionize ML models
  • state-of-the-art ML algorithms
  • Uber scale