Sr. Machine Learning Infrastructure Engineer, Backend, Personalization

The Role

The Personalization team at Peloton is looking for a senior machine learning infrastructure engineer to design, build and maintain low latency and highly scalable content recommendations services for our super engaged members across multiple platforms. You will have a unique opportunity to build systems and services to provide real time recommendations and best in-class experience for the world’s leading at home fitness platform. You will work closely with other ML Engineers, API Engineers and Product Managers to drive and test new ML product features. We’re looking for someone who’s passionate about fitness, and is excited about the challenges of unlocking the power of machine learning in a production environment. 

Responsibilities

• Design and build Python microservices that power Peloton’s content recommendations.


• Work closely with ML engineers to productionize models efficiently, ensuring seamless integration with backend services.


• Productionize, deploy and monitor Personalization/machine learning services.


• Ensure high availability and performance of backend services through load balancing, caching strategies, and auto-scaling techniques.


• Assume technical responsibility for Personalization services, and work with engineers to scale and improve testability of our production systems.


• Conduct capacity planning and performance tuning to support high-traffic personalization workloads.


• Collaborate and work closely with our platform teams to leverage their tools and infrastructure to rapidly iterate on ideas that drive delightful personalized experiences for millions of users.

Required Qualifications

• B.S. Degree in Computer Science/Engineering and 5 years of experience in Software Engineering.


• Strong understanding of software engineering principles and fundamentals including data structures and algorithms.


• Experience writing code in Python, Java, Kotlin, Go, C/C with documentation for reproducibility.


• Strong experience deploying and managing services on AWS, GCP, or Azure.


• Experience with message queues (Kafka, RabbitMQ, SQS) to handle real-time event-driven architectures.


• Proficiency in debugging, profiling, and tuning backend services (e.g., using flame graphs, p99 latency tracking).


• Proficiency with relational and non-relational databases such as Postgres, MySQL, DynamoDB, Redis.


• Experience with designing RESTful API. 


• Experience working with gRPC and designing microservices from ground up.


• Experience with concurrency and parallelism in Python and/or Java.

Preferred Qualifications

• Experience/Interest working in at least one of following ML disciplines: recommender systems, natural language processing or computer vision.


• Experience with Redis, Memcached, and CDN strategies to optimize recommendation response times.


• Experience analyzing cloud costs and optimizing infrastructure spend without sacrificing reliability.


• Experience with building real-time ML applications with NVIDIA Triton/TorchServe.


• Experience working with Graph Databases (Neo4j).


• Have experience in building secure consumer facing APIs.


• Have experience in leading backend development and engineering. 


• Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.


• Experience working with docker, orchestration platforms like kubernetes, CI/CD workflows like GHA and other IaC tools like Terraform, cloud formation etc.


• Experience with ML Monitoring and Observability tools like Datadog, MLFlow, Grafana etc.

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, without limitation, experience and 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!

Base Salary Range: $176,750 USD - $209,100 USD

ABOUT 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.

At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members, However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool. 

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 here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com 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.