ABOUT THE ROLE:The AI/CV team is working on powering products that incorporate computer vision into thefitness domain. We are looking for a Senior Machine Learning Engineer, Deployment focusedon Deep Learning/Computer Vision. The role will involve working closely with ML and SystemsEngineers to ensure the success of ML applications on device, defining processes forpackaging and deploying ML projects, and guiding the team on best practices for managingmulti-dependency modules.
Responsibilities
Collaborate and work closely with engineers to translate and deploy new AI/ML solutionsfor connected fitness devices.Be the voice in the room that guides development work by ensuring work being done bythe team is deployable in an end to end system.Ensure model performance remains within expected bounds when promotingexperimental models to production.Specifically, you may encounter projects focused on: Temporal modeling, ObjectDetection, Segmentation, Perception, Multi-modal and Ensembling.Qualifications
Hands-on, real-world experience with one or more of Computer Vision, MachineLearning, 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.Ability to quickly translate research work into high-quality production code with a strongsense 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 Points
Experience developing Deep Learning models, especially for Detection, Tracking,Sequential modeling, Transformers and Few-Shot Learning tasks.Experience developing software for consumer products on Mobile SoCs, within theAndroid 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.#J-18808-Ljbffr
