🛠 Tech Stack

💼 About This Role

You'll develop computer vision systems for fitness products at Peloton. You'll build form feedback, activity recognition, and intelligent coaching features. This role combines CV research with production deployment.

🎯 What You'll Do

• Solve problems in person perception and understanding for computer vision
• Build, train, and deploy deep learning models
• Design and conduct experiments on novel architectures or sensors
• Build tools for model training and diagnostics

📋 Requirements

• MS or PhD in Computer Science with focus on computer vision
• 2+ years experience with supervised/self-supervised/unsupervised ML in CV
• Deep understanding of neural network architectures for CV (CNN/LSTM/3DConvs/GNN/TCN/Transformers)
• Experience with PyTorch, Python, AWS, Sagemaker, MLFlow, Airflow, Kubernetes

✨ Nice to Have

• Experience with Transformers
• Experience with Pose Estimation
• Experience with C++ and edge deployment

🎁 Benefits & Perks

• 🏥 Medical, dental and vision insurance
• 🏖️ Generous paid time off
• 📈 401k, tuition reimbursement, student loan paydown
• 👶 Up to 18 weeks paid parental leave
• 🚲 Free Peloton Digital App and product discounts

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite (Virtual)· 3-4 hours