Source description
About the role
Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience.
7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems.
Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.
Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with training models on mulit-node, multi-gpu distributed compute environments.
Familiarity with best practices for data, model, and context parallelisms.
Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications.
Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).
Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute.
Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams.
Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.
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