Sr. Software Engineer, Content AI

ABOUT THE ROLE

The Senior Software Engineer acts as the technical lead for an agile team, focusing on the design and development of scalable microservices for Peloton's core features across all platforms (Bike, Tread, Strength, and Digital).

The Content AI Team is responsible for training and hosting various models in the domains of Natural Language Processing (NLP) and Automatic Speech Recognition (ASR). This role is highly collaborative, requiring close partnership with Product, Design, and QA throughout the development lifecycle.

The candidate will be responsible for designing, developing, testing, deploying, and monitoring microservices that specifically power features like search, voice, and captions, which are crucial for platform expansion and international growth.

In addition to technical delivery, excellent communication and engineering skills are essential for providing guidance to junior team members and effectively coordinating with other stakeholders, such as Technical Program Managers (TPM).

*This position is in Warsaw and we do go into the office Tuesday, Wednesday and Thursdays.

YOUR DAILY IMPACT AT PELOTON

Design, develop and operate business-critical APIs and services with a focus on high availability, low latency, security and scalability

Mentor junior engineers in the team and communicate effectively with TPM and Product

Write understandable, well tested code with an eye towards maintainability and scalability

Architect and build reusable code, libraries, and patterns for use across teams

Propose, experiment, and implement solutions to scale services while meeting business and product requirements.

Leverage production monitoring/profiling/tracing and load testing tools to discover bottlenecks and using techniques such as data modeling, query optimization, and caching to address the bottlenecks

Lead technical discussions during architecture meetings, design reviews, and task breakdown

Identify common patterns as well as develop and foster development of reusable components and standards across teams

Champion and implement industry best practices such as feature toggles, CI/CD, test automation, logging, and monitoring in order to ensure confidence in our release process

Mentor and coach engineers through code reviews, pair programming, and technical guidance

Participate in on-call rotations and lead incident response efforts to maintain system reliability

Collaborate and partner with cross-functional team members from Product, Design, and QA whilst serving as a domain expert in your area

YOU BRING TO PELOTON

MS or BS degree in fields such as Computer Science, Engineering or Mathematics

6+ years of software development experience building high-performance, highly scalable backend cloud application systems

Expertise in Kotlin, Python, or similar languages

Strong experience with Spring Boot, Bottle/Gunicorn, or similar backend web frameworks (JVM or Python)

Experience with both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. DynamoDB, Mongo) databases

Hands-on experience with Elastic Search query optimization and scaling

Experience with caching systems such as Memcache, Redis

Experience with request processing such as REST, gRPC, or GraphQL

Proven ability to work in high growth, fast-paced environments and adapt to change

Experience with Docker and Kubernetes for containerization and orchestration

Experience with AWS services (DynamoDB, S3, ECR, IAM, Lambda, SQS) and cloud infrastructure design

Experience with deployment tooling such as Terraform, GitHub Actions, Jenkins

Experience with observability and monitoring tools such as Datadog or similar APM solutions

Strong understanding of API design principles, security best practices, and performance optimization

Experience with production support, leading incident response, and troubleshooting complex distributed systems

Experience collaborating with and influencing cross-functional team members from Product, Design, and QA

BONUS

Experience with building personal voice digital assistants or chatbots

Experience with building search platforms, personalizing search and discovery

Worked with automatic speech recognition (ASR)

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

307 500 zł — 361 600 zł PLN

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 .