Related skills
aws python gcp tensorflow pytorch📋 Description
- Design and train DL/ML models on time-series/biosensor data.
- Experiment and optimize DL/ML models for production and real-time use.
- Write clean, production-ready code.
- Monitor performance and data quality across users.
- Collaborate with SIG, Data Science and Firmware to scale ML inference.
- Own ML service lifecycle from development to deployment.
🎯 Requirements
- Bachelor’s in CS/EE/BioEng/Data Science/AI/Statistics; Master’s/PhD preferred.
- 5+ years ML Engineer experience (4+ with Master’s; 2+ with PhD; exceptions may apply).
- Experience with multiple DL architectures; Foundation AI models a plus.
- Strong ML fundamentals and DL techniques; time-series familiarity; signal processing basics.
- Python, PyTorch, TensorFlow proficiency.
- Experience deploying ML inference systems at scale; AWS or GCP a plus.
🎁 Benefits
- Base salary: $150,000 - $210,000.
- Meaningful equity and comprehensive benefits.
- Opportunity to impact millions of WHOOP members.
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