Sr. Machine Learning Engineer, Deployment (Edge)

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, Deployment focused
on Deep Learning/Computer Vision. 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.
Responsibilities
● 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
Qualifications
● 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.
● 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 Points
Experience with one or more of:
● 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 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-Hybrid

#LI-TP1

The base salary range represents the low and high end of the anticipated salary range for this position based at our Santa Clara office. The actual base salary offered for this position will depend on numerous factors including individual performance, business objectives, and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.   As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: - 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 and so much more!   Base Salary Range$200,740—$271,000 USD

 

ABOUT PELOTON:

Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content 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 brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.

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