The company is looking to power products that incorporate computer vision into the fitness domain.
Requirements
- Hands-on, real-world experience with one or more of Computer Vision, Machine Learning, Deep Learning.
- Hands on experience on Model Compression techniques such as Quantization, Pruning, Distillation.
- Proficiency in C/C++ and Python.
- Proficiency in ML frameworks like PyTorch, Tensorflow, Keras, etc.
- Experience with one of the following frameworks: Qualcomm SNPE, Tensorflow Lite, CoreML or other similar Edge Inference/NN Acceleration frameworks.
- Experience working in a CI/CD environment and git.
- Experience developing Deep Learning models, especially for Detection, Tracking, Sequential modeling, Transformers and Few-Shot Learning tasks.
Responsibilities
- Collaborate and work closely with engineers to translate and deploy new AI/ML solutions for connected fitness devices.
- Ensure model performance remains within expected bounds when promoting experimental models to production.
- Define processes for packaging and deploying ML projects.
- Guide the team on best practices for managing multi-dependency modules.
- Work on projects focused on Temporal modeling, Object Detection, Segmentation, Perception, Multi-modal and Ensembling.
Other
- Excellent written and verbal communications skills.
- Ability to quickly translate research work into high-quality production code with a strong sense of good system design.
- Comfortable working with large image and video datasets.
- Medical, dental and vision insurance.
- Generous paid time off policy.
- Short-term and long-term disability.
- Access to mental health services.
- 401k, tuition reimbursement and student loan paydown plans.
- Employee Stock Purchase Plan.
- Fertility and adoption support and up to 18 weeks of paid parental leave.
- Child care and family care discounts.
- Free access to Peloton Digital App and apparel and product discounts.
- Commuter benefits and Citi Bike Discount.
- Pet insurance.
