Senior Machine Learning Engineer, Deployment (Edge AI)
Job Description
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
#LI-JS2Ā
#LI-Hybrid
ABOUT PELOTON:
Peloton provides Members with expert instruction, world-class content and the fitness industry's leading music library to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton offers an immersive and personalized experience [with or without equipment]. Access Peloton content via the Peloton Bike, Bike+, Tread, Guide, Row or the Peloton App, now with multiple membership tiers. Founded in 2012 and headquartered in New York City, Peloton has a highly engaged community of nearly 7 million Members across the US, UK, Canada, Germany, and Australia.Ā
Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. Ā If you would like to request any accommodations from application through to interview, please email: [email protected]
Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from anĀ @onepeloton.comĀ email address.Ā
If you haveĀ any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please emailĀ [email protected]Ā before taking any further action in relation to the correspondence.
Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.
Date Posted
11/08/2023
Views
13
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