Machine Learning Engineer III

Company: Disability Solutions
Location: New York
Posted on: April 1, 2025

Job Description:

ABOUT THE ROLE:The AI/CV team is focused on integrating computer vision into fitnessproducts, enhancing user experience through intelligent coaching andform assessment. We are seeking a Machine Learning Engineer with apassion for developing AI-powered consumer products and a proventrack record in computer vision and machine learning.As a Machine Learning Engineer on Peloton's Connected Fitness AIteam, you will play a key role in developing form feedback systems,advancing activity recognition, and enabling intelligent coaching. Yourprimary focus will be building temporal models using state-of-the-artmachine learning techniques and tools to power next-generation fitnessexperiences.YOUR DAILY IMPACT AT PELOTON--- Provide expertise/guidance to solve problems in the computervision domain relating to person perception and understanding.--- Work with other team members to build/train/deploy deeplearning models.--- Hypothesize, design, and conduct various experiments on howwe can use novel architectures or new sensors to improvebaseline 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 fieldwith a focus on computer vision, machine learning andmathematics.--- Strong background in software engineering.--- 2+ years of experience developing solutions using supervised,self-supervised and unsupervised machine learning techniquesin computer vision applications.--- Deep understanding of various neural network architecturesspecifically applied to solve CV problems, such asCNN/LSTM/3DConvs/GNN/TCN/Metric Learning andtransformer based architectures.--- Should have a deep understanding of concepts like objectdetection, segmentation, conditional classification, poseestimation and optical flow.--- Experience with multiple technologies from the following list:PyTorch, Python, Sagemaker, MLFlow, Airflow, Kubernetes,AWSBonus Points:--- Prior proven experience on Transformers--- Experience with Pose Estimation techniques--- Experience with C++ and edge deployment--- Experience understanding fairness and bias pertaining to modeldevelopment--- Experience with infrastructure and MLOpsABOUT 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, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com.Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @ email address. If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

Keywords: Disability Solutions, New York , Machine Learning Engineer III, Engineering , New York, New York