Staff Ai/ml Researcher (foundation Ai)

Whoop Whoop · Consumer · Boston, MA · Foundation AI

Staff AI/ML Researcher focused on building multimodal foundation models for a health and fitness wearable company. The role involves integrating diverse data sources (sensors, language, biomarkers, clinical, self-reported) to understand human physiology and behavior, and driving the research, development, and deployment of these large-scale models.

What you'd actually do

  1. drive the research, development, and deployment of large-scale multimodal models
  2. collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning
  3. ensure our models deliver measurable value to WHOOP members

Skills

Required

  • multimodal deep learning
  • foundation models
  • large-scale model development
  • wearable sensor data
  • biomarker data
  • clinical data
  • language models

Nice to have

  • Python
  • PyTorch
  • TensorFlow
  • distributed training
  • model deployment

What the JD emphasized

  • multimodal foundation models
  • integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs
  • understand human physiology and behavior
  • large-scale multimodal models

Other signals

  • multimodal foundation models
  • integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs
  • understand human physiology and behavior
  • research, development, and deployment of large-scale multimodal models