Taha Bahadori

Principal Machine Learning Scientist @ Amazon | GenAI Safety, Causal Inference

Role
Principal Machine Learning Scientist at Amazon
Location
Seattle, WA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Taha Bahadori

I have three main research areas in machine learning:1. Generative AI safety is currently my key focus. I work on both safety alignment of LLMs and also design of safety guardrails.2. Interpreting deep learning models is one of my main research interests and I have published several research papers on this subject.3. Robust causal inference using machine learning tools. Most of my causal inference work has been in Amazon, understanding the causes of workplace injury among Amazon Associates.

Experience

  1. Principal Machine Learning Scientist

    Amazon

    Mar 2024 — Present · Seattle, WA, US

Education

  • University of Southern California

    PhD, Electrical Engineering

    2008 — 2013

  • Sharif University of Technology

    Bachelar of Science, Electrical Engineering

    2004 — 2008

Skills

  • R
  • Machine Learning
  • Algorithms
  • Recommender Systems
  • Text Classification
  • Python
  • Matlab
  • Data Analysis
  • Causal Inference
  • Time Series Analysis
  • Information Retrieval
  • Signal Processing
  • Mathematical Modeling
  • Computer Science
  • Bayesian Statistics
  • Unix Shell Scripting
  • Optimizations
  • C++
  • Data Mining
  • Statistics
  • Big Data
  • C
  • Optimization
  • Social Media

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Taha Bahadori — Principal Machine Learning Scientist at Amazon in Seattle, WA, US | Unifers