Software Engineer III, Content AI
Warsaw, PL
Mid level Software Engineer will be a member of the agile team which is responsible for 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). The candidate will be responsible for developing, testing, deploying, and monitoring microservices that specifically power features like search, voice, and subtitles, which are crucial for platform expansion and international growth. In addition to technical delivery, good communication skills are essential for providing updates to engineering leads and other stakeholders, such as Technical Program Managers (TPM).
YOUR DAILY IMPACT AT PELOTON
- Develop and maintain business-critical APIs and services with a focus on high availability, low latency, security and scalability under guidance from senior engineers.
- Effectively provide updates to the team leaders and participate in sprint planning and team meetings.
- Write understandable, well-tested code with an eye towards maintainability and scalability.
- Contribute to building reusable code, libraries, and patterns for use across teams.
- Implement solutions to scale services while meeting business and product requirements, often under supervision.
- Utilize production monitoring/profiling/tracing and load testing tools to discover bottlenecks and apply techniques such as data modeling, query optimization, and caching to address them.
- Understand 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.
- Participate in on-call rotations and assist with incident response efforts to maintain system reliability.
YOU BRING TO PELOTON
- MS or BS degree in fields such as Computer Science, Engineering or Mathematics.
- 3+ years of software development experience building backend cloud application systems.
- Experience in Kotlin, Python, or similar languages.
- Experience with Spring Boot, Bottle/Gunicorn, or similar backend web frameworks (JVM or Python).
- Familiarity with both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. DynamoDB, Mongo) databases.
- Familiarity with Elastic Search.
- Familiarity with caching systems such as Memcache, Redis.
- Experience with request processing such as REST, gRPC, or GraphQL.
- Ability to work in high growth, fast-paced environments and adapt to change.
- Familiarity with Docker and Kubernetes for containerization and orchestration.
- Familiarity with AWS services (DynamoDB, S3, ECR, IAM, Lambda, SQS) and cloud infrastructure concepts.
- Familiarity with deployment tooling such as Terraform, GitHub Actions, Jenkins.
- Experience with observability and monitoring tools such as Datadog or similar APM solutions.
- Understanding of API design principles, security best practices, and performance optimization.
- Experience with production support and troubleshooting issues in distributed systems.
- Experience collaborating with cross-functional team members from Product, Design, and QA.
Bonus Points
- Experience with building personal voice digital assistants or chatbots.
- Experience with building search platforms, personalizing search and discovery.
- Worked with automatic speech recognition (ASR).
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.
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