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Senior Machine Learning Engineer

Deployment, Edge AI

Confirmed live in the last 24 hours

1,001-5,000 employees

Website

Interactive fitness platform with on-demand classes

Company Overview

Peloton Interactive is a global leader in the connected fitness industry, offering a comprehensive fitness ecosystem that combines top-tier equipment, software, and content to make fitness accessible and effective for everyone. The company's culture is centered around fostering social connections and motivation among its 6.7 million members, with a vast library of live and on-demand studio classes available across multiple platforms and devices. Peloton's competitive advantage lies in its unique blend of fitness, technology, and media, offering a variety of membership and payment options, and extending its reach to corporate wellness and commercial sectors.

Consumer Software

Company Stage

IPO

Total Funding

$1.9B

Founded

2011

Headquarters

New York, New York

Growth & Insights

Headcount

6 month growth

↓ -4%

1 year growth

↓ -12%

2 year growth

↓ -24%

Locations

Santa Clara, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Android Development

Computer Vision

iOS/Swift

Git

Keras

Objective-C

Pytorch

Tensorflow

Python

CategoriesNew

AI & Machine Learning

Software Engineering

Requirements

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
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

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

Desired Qualifications

: Experience with one or more of:

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-JS2

#LI-Hybrid

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

$199,200—$258,800 USD

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.

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. 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 an @onepeloton.com email address.

If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email [email protected] 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.