Senior Machine Learning Engineer, Deployment (Edge AI) - Peloton Interactive｜Meet.jobs

ABOUT THE ROLE

The AI/CV team is working on powering products that incorporate computer vision into the fitness domain. We are looking for a Senior Machine Learning Engineer focused on deploying and training Deep Learning/Computer Vision models. The role will involve working closely with ML and Systems Engineers to ensure the success of ML applications on device, defining processes for packaging and deploying ML projects, and guiding the team on best practices for managing multi-dependency modules and help on training SOTA models.

YOUR DAILY IMPACT AT PELOTON

• Collaborate and work closely with engineers to translate and deploy new AI/ML solutions for connected fitness devices.
• Be the voice in the room that guides development work by ensuring work being done by the team is deployable in an end to end system.
• Ensure model performance remains within expected bounds when promoting experimental models to production.
• Specifically, you may encounter projects focused on: Temporal modeling, Object Detection, Segmentation, Perception, Multi-modal and Ensembling

YOU BRING TO PELOTON

• Hands-on, real-world experience with one or more of Computer Vision, Machine Learning, Deep Learning.
• Proficiency in C/C++ and Python
• Proficiency in ML frameworks like PyTorch, Tensorflow, Keras, etc.
• Hands on experience on Model Compression techniques such as Quantization, Pruning, Distillation
• Experience with one of the following frameworks: Qualcomm SNPE, Tensorflow Lite, CoreML or other similar Edge Inference/NN Acceleration frameworks.
• Experience developing Deep Learning models, especially for Detection, Tracking, Sequential modeling, Transformers and Few-Shot Learning tasks.
• 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.
• Experience working in a CI/CD environment and git
• Excellent written and verbal communications skills.
• Bonus: Experience with one or more of:
  • Experience developing software for consumer products on Mobile SoCs, within the Android NDK framework and/or using CoreML for iOS.
  • Experience with compute offloads to GPU, DSPs, etc.
  • Experience with profiling and tracing tools.
  • Experience with Objective-c, Swift

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Peloton Interactive focuses on Hardware, Retail, Fitness, Video Streaming, and Android. Their company has offices in New York City. They have a very large team that's between 1001-5000 employees. To date, Peloton Interactive has raised $1.041B of funding; their latest round was closed on August 2018 at a valuation of $4.125B.

You can view their website at http://www.onepeloton.com or find them on Twitter, Facebook, and LinkedIn.