Senior Machine Learning Engineer

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 who is passionate about and has a track record of building computer vision and machine learning powered consumer products to join this team. Peloton is looking for a Senior Machine Learning Engineer to develop computer vision capabilities for the connected fitness AI team. Your main focus will be building temporal models with the help of the latest machine learning techniques and tools.

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
• 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.
• 3+ 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/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. Substantial experience with multiple technologies from the following list: PyTorch, Python, Sagemaker, MLFlow, Airflow, Kubernetes, AWS

BONUS

• Prior proven experience on Transformers
• Experience with 3D Pose Estimation and Depth based techniques
• Experience with C++ and edge deployment
• Experience understanding fairness and bias pertaining to model development
• Experience with infrastructure and MLOps

Base Salary: $199,200.00  to $258,800.00

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 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!

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