Applied Scientist II and Senior Applied Scientist

What you'll do

• Build and maintain production machine learning models for ad retrieval, quality prediction, and creative generation
• Analyze web-scale data using machine learning, feature engineering, statistical, and data mining techniques (regression, classification, NLP, optimization, p-values analysis)
• Design experiments, analyze data, and produce actionable, trustworthy conclusions
• Design, test, and optimize prompts for effective LLM performance
• Handle large-scale data (petabytes) using various tools and programming languages
• Summarize complex problems and data to assist senior executives in business decisions

Requirements

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience OR Master's Degree AND 1+ year related experience OR Doctorate OR equivalent experience
• Preferred: Bachelor's Degree AND 4+ years related experience OR Master's Degree AND 3+ years related experience OR Doctorate AND 1+ year related experience
• 2+ years experience delivering, scaling, and maintaining machine learning products
• 1+ year experience creating publications (patents, peer-reviewed papers)
• Experience with Large Language Models such as GPT, BERT
• In-depth knowledge of NLP techniques including tokenization, semantic analysis, text generation
• Hands-on experience with deep learning models (DNN, Attention, CNN, RNN) and frameworks (TensorFlow, PyTorch, Keras)
• Algorithmic and analytical background to solve real problems
• Experience in parallel or distributed processing, high performance computing, stream computing, and SCOPE

Tech stack

Benefits