Software engineer in content AI

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).

• 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

• 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
• Будет плюсом: 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.
• 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.
• 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 212 500 zł — 250 000 zł PLN