Machine Learning Engineer III

ABOUT THE ROLE

The AI/CV team focuses on integrating computer vision into fitness products, enhancing the user experience through intelligent coaching and form assessment. We are seeking a Machine Learning Engineer with a passion for developing AI-powered consumer products and a proven track record in computer vision and machine learning.

As a Machine Learning Engineer on Peloton’s Connected Fitness AI team, you will play a key role in developing form feedback systems, advancing activity recognition, enabling intelligent coaching, and analyzing data to generate actionable insights that improve our models.

YOUR DAILY IMPACT AT PELOTON

• Provide expertise/guidance to solve problems in the computer vision domain relating to person perception and understanding
• Work with other team members to build/train/deploy deep learning models
• Hypothesize, design, and conduct various experiments on how we can use novel architectures or new sensors to improve baseline models
• Provide help to build tools for model training and diagnostics
• Analyze data from alpha and beta testers, as well as production, to assess model performance
• Willing to learn and passionate about fitness

YOU BRING TO PELOTON

• MS or PhD in Computer Science or a related quantitative field with a focus on computer vision, machine learning and mathematics
• Strong background in software engineering
• 2+ years of experience developing solutions using supervised, self-supervised and unsupervised machine learning techniques in computer vision applications
• Deep understanding of various neural network architectures specifically applied to solve CV problems, such as CNN/LSTM/3DConvs/GNN/TCN/Metric Learning and transformer based architectures
• Should have a deep understanding of concepts like object detection, segmentation, conditional classification, pose estimation and optical flow
• Experience with multiple technologies from the following list: PyTorch, Python, Sagemaker, MLFlow, Airflow, Kubernetes, AWS

BONUS

• Prior proven experience on Transformers
• Experience with Pose Estimation techniques
• Experience with C++ and edge deployment
• Experience understanding fairness and bias pertaining to model development
• Experience with infrastructure and MLOps

#LI-JS2
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The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and 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$176,750—$209,100 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,