Machine Learning Engineer III

Peloton • New York, NY

5h • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level