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The AI/CV team is working on powering products that incorporate computer vision into the fitness domain. We are looking for a technical lead manager who is passionate about & has a track record of building computer vision & machine learning powered consumer products to join this team.  



  • Evolve Computer Vision product & technical roadmap & drive for its execution.
  • Manage & grow a team of machine learning engineers & software engineers responsible for delivering to that roadmap.
  • Establish processes to effectively improve machine learning, engineering & operational excellence. 
  • Identify & drive the adoption of new technologies, architecture & skill sets for the team to take on new challenges.
  • Partner closely with Recruiting to identify & hire strong candidates from diverse backgrounds.

Growing People

  • Motivate & drive a continuous performance-based culture within the team. Provide adequate management support for the team in the form of team meetings, 1:1s & other forums as needed to support the group & individual development objectives of team members.
  • Coach & mentor team members. Foster their career growth through setting objectives, regular feedback, & sharing best practices. 
  • Lead by example to actively maintain & build a culture of learning, respect, transparency, & trust.

Project Leadership

  • Collaborate across the organization with Engineering, Product, Product Analytics, Program Management, & others to develop short- & long-term roadmaps & execution plans.
  • Collaborate within the AI/CV team to identify data/infrastructure needs that support project goals.
  • Handle planning & breaking down large projects; Manage program & project risks appropriately; Identify & mitigate internal & cross-functional dependencies & blockers.
  • Lead with a members first mentality, & how individual projects enrich the overall experience for end users.

Technical Leadership & Individual Contributions

  • Drive technical decision making through objectively assessing trade offs based on architecture, scope, business priorities, & impact to product experience.
  • Leverage a strong technical foundation & experience to provide appropriate guidance in a team of senior & staff machine learning engineers & software engineers.
  • Hands-on, ready to roll up their sleeves as an individual contributor


  • MS or PhD in Computer Science or a related quantitative field with a focus on computer vision, machine learning & mathematics. Strong background in software engineering.
  • 3+ years of technical management experience. 
  • 5+ years of combined machine learning & software development experience. Demonstrable experience building & deploying machine learning systems in production. Experience deploying computer vision models on edge devices with compute constraints is a bonus..
  • Experience developing solutions using supervised, self-supervised & 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 & transformer based architectures.Should have a deep understanding of concepts like object detection, segmentation, conditional classification, & optical flow.
  • Substantial experience with multiple technologies from the following list: PyTorch, Python, Sagemaker, MLFlow, Airflow, Kubernetes, AWS
  • Experience setting a strong vision & roadmap for the team; Actively involved in setting teams long term goals & execution plans.
  • Experience working with Agile methodology & delivery of quality software as part of an Agile team.
  • Demonstrable experience shipping several large projects with multiple dependencies across teams
  • Ability to mediate between competing product & technical priorities; align priorities & goals through collaboration with technical leads & product managers. 
  • Experience with coaching & mentoring engineers at different stages in their career, including senior & staff level engineers. Able to demonstrate the ability to identify the strength & weaknesses of individuals in order to maximize team effectiveness.
  • Experience hiring talented engineers at different levels.



Peloton is the leading interactive fitness platform globally, with a passionate community of 7 million Members in the US, UK, Canada, Germany, & Australia. Peloton makes fitness entertaining, approachable, effective, & convenient, while fostering social connections that motivate its Members to commit to their fitness journeys. An innovator at the nexus of fitness, technology, & media, Peloton reinvented the fitness industry by developing a first-of-its-kind subscription platform that seamlessly combines the best equipment, proprietary networked software, world-class streaming digital fitness & wellness content, & best-in-class fitness experts & Instructors.

At Peloton, we motivate the world to live better. Together We Go Far means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. By combining hardware, software, content, retail, apparel, manufacturing, Member support, & so much more, we deliver an exhilarating fitness experience that unlocks our members' greatness. Join our team to unlock yours.

Peloton is an equal opportunity employer & committed to creating an inclusive environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you would like to request any accommodations from application through to interview, please email:

Peloton has a COVID-19 vaccination policy to safeguard the health & well-being of our employees & customers globally. All employees based in the U.S. & Canada are required to provide proof of vaccination, unless the employee has a Peloton-approved reasonable accommodation or as otherwise required by law.
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