Sr. Machine Learning, Infrastructure Engineer

New York, NY, USA

Full-TimeDepends on ExperienceSenior LevelMasters

Job Description

Welcome to Peloton, where we are revolutionizing the fitness industry through cutting-edge technology and innovative products. We are seeking a Sr. Machine Learning, Infrastructure Engineer to join our growing team and help us shape the future of connected fitness. As a key member of our Engineering team, you will have the opportunity to work with talented individuals and play a crucial role in developing and maintaining our machine learning infrastructure. If you are passionate about leveraging data and technology to improve people's lives, have a strong background in machine learning, and thrive in a fast-paced and collaborative environment, we want to hear from you!

Develop and maintain machine learning infrastructure for Peloton's connected fitness products.
Collaborate with cross-functional teams to integrate machine learning capabilities into product development.
Stay updated on industry trends and advancements in machine learning to continuously improve Peloton's offerings.
Implement and optimize machine learning algorithms for various use cases, including user behavior prediction and data analysis.
Troubleshoot and resolve issues related to machine learning infrastructure and algorithms.
Work closely with data scientists and software engineers to ensure seamless integration of machine learning models into Peloton's products.
Develop and maintain documentation for machine learning infrastructure and processes.
Monitor and improve the performance and scalability of machine learning systems.
Participate in code reviews and contribute to the continuous improvement of Peloton's engineering practices.
Collaborate with product managers to understand business needs and translate them into technical requirements for machine learning solutions.
Mentor and provide guidance to junior members of the team.
Communicate updates and progress on machine learning projects to stakeholders and leadership.
Ensure compliance with data privacy and security standards.
Continuously evaluate and implement new tools and techniques to enhance Peloton's machine learning capabilities.
Actively participate in team meetings and brainstorming sessions to drive innovation and improvement within the organization.

Where is this job?

This job is located at New York, NY, USA

Job Qualifications

Advanced Knowledge Of Machine Learning Algorithms And Techniques: A Sr. Machine Learning, Infrastructure Engineer At Peloton Should Possess A Deep Understanding Of Various Machine Learning Algorithms And Techniques Such As Deep Learning, Reinforcement Learning, And Natural Language Processing. They Should Also Have Experience In Implementing These Algorithms In Real-World Applications.
Extensive Experience With Big Data Technologies: Peloton's Infrastructure Relies Heavily On Big Data Technologies Such As Hadoop, Spark, And Kafka. Therefore, A Sr. Machine Learning, Infrastructure Engineer Should Have A Strong Background In Working With These Technologies And Be Able To Design And Optimize Data Pipelines For Large-Scale Data Processing.
Proficiency In Programming Languages And Tools: A Successful Candidate For This Role Should Have A Strong Programming Background In Languages Like Python, Java, Or Scala. They Should Also Be Comfortable Working With Tools Such As Tensorflow, Pytorch, And Keras For Building And Deploying Machine Learning Models.
Experience With Cloud Computing Platforms: Peloton's Infrastructure Is Built On A Cloud Computing Platform, So A Sr. Machine Learning, Infrastructure Engineer Should Have Experience Working With Public Cloud Providers Like Aws, Google Cloud, Or Azure. They Should Also Have A Strong Understanding Of Cloud-Based Infrastructure And Be Able To Design And Implement Solutions That Are Scalable And Reliable.
Collaborative And Problem-Solving Mindset: As A Senior Member Of The Team, The Sr. Machine Learning, Infrastructure Engineer Should Be Able To Collaborate Effectively With Other Team Members And Stakeholders. They Should Also Have A Strong Problem-Solving Mindset And Be Able To Identify And Troubleshoot Issues In The Infrastructure And Machine Learning Models.

Required Skills

Infrastructure
Python
Data Analysis
Algorithms
Big Data
DevOps
Distributed systems
Machine Learning
Deep Learning
Automation
Cloud Computing
Scalability
Natural

Soft Skills

Communication
Conflict Resolution
Leadership
Stress Management
Time management
creativity
Teamwork
Adaptability
Problem-Solving
Empathy

Compensation

According to JobzMall, the average salary range for a Sr. Machine Learning, Infrastructure Engineer in New York, NY, USA is $150,000 - $180,000. However, this can vary depending on factors such as experience, specific industry, and company size. It is important to research the specific job posting and company to determine a more accurate salary range.

Additional Information

Peloton is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Required LanguagesEnglish

Job PostedMarch 17th, 2025

Apply BeforeJune 9th, 2026

This job posting is from a verified source.

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