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 technical lead manager who is passionate about and has a track record of building computer vision and machine learning powered consumer products to join this team.

YOUR DAILY IMPACT AT PELOTON

Team

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

Growing People

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

Project Leadership

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

Technical Leadership and Individual Contributions

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

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 technical management experience. 
• 5 years of combined machine learning and software development experience. Demonstrable experience building and 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 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, and optical flow.
• Substantial experience with multiple technologies from the following list: PyTorch, Python, Sagemaker, MLFlow, Airflow, Kubernetes, AWS
• Experience setting a strong vision and roadmap for the team; Actively involved in setting team’s long term goals and execution plans.
• Experience working with Agile methodology and 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 and technical priorities; align priorities and goals through collaboration with technical leads and product managers. 
• Experience with coaching and mentoring engineers at different stages in their career, including senior and staff level engineers. Able to demonstrate the ability to identify the strength and weaknesses of individuals in order to maximize team effectiveness.
• Experience hiring talented engineers at different levels.

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