Strava

Machine Learning Engineer

• Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide
• Own End to End AI Systems: Drive key projects powered by ML on the Strava platform end-to-end, from initial model prototyping to shipping production code to scaling and optimizing inference and deployment
• Shape AI at Strava: Be a strong voice on a highly collaborative team with a range of experience levels. Work across teams to deploy ML solutions in multiple surfaces and build out our technical ML capabilities.
• Innovate in AI for Fitness: Design and develop novel models and methodologies to take on novel problems that improve athlete experience, including recommendation systems, activity prediction, and personalized insights.
• Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features

Senior Machine Learning Engineer

Backend Engineer

• Build core Identity platform capabilities, including authentication, authorization, token lifecycle management, session continuity, and account security systems.
• Develop scalable, reliable server-side services that support sign-up, login, account recovery, MFA/passkeys, and cross-application identity.
• Design and evolve modern identity protocols, integrating standards like OAuth 2.0, OIDC, WebAuthn, biometrics, and secure token exchange.
• Improve identity flows across iOS, Android, and web, balancing frictionless user experience with world-class security.
• Partner with cross-functional teams—Product, Security, Trust & Safety, Legal, and Mobile/Web Engineering—to build identity foundations that enable safety, privacy, and growth.
• Drive technical excellence, contributing thoughtful architectural perspectives and shaping long-term Identity strategies.
• Mentor and support fellow engineers, fostering a collaborative, inclusive, and high-trust environment.
• Influence system design across teams, using deep identity expertise to lead discussions around security, performance, and scalability.

Senior Server Engineer, Identity Platform

• Design, build, and maintain scalable backend services using Strava’s tech stack (Ruby, Java, Scala, Python, Go, MySQL, Redis, Cassandra, Kafka, Kubernetes, Docker, Elasticsearch, and GraphQL).
• Develop and optimize APIs that seamlessly integrate with client-facing applications to deliver impactful features.
• Collaborate with cross-functional partners, including product managers, designers, and client-side engineers, to align technical implementation with business needs.
• Mentor and support other engineers, fostering a culture of learning, growth, and technical excellence.
• Ensure service reliability, scalability, and performance while balancing technical debt with new feature development.

Senior Server Engineer

Product Designer

• Lead end-to-end product design for onboarding, activation, and habit-building journeys
• Collaborate with cross-functional partners to define opportunities, shape solutions, and deliver high-quality, user-centered experiences.
• Use data (quantitative and qualitative) and user insights to inform design decisions and prioritize features
• Own visual design, interaction, and prototyping to create polished, modern, and engaging user experiences
• Drive experimentation and iteration through rapid prototyping and validation
• Contribute to lifecycle strategy and roadmap discussions with a retention and growth mindset
• Present clear design rationale to stakeholders and leadership, inviting feedback and alignment
• Advocate for inclusive and accessible design, particularly for underserved or expansion audiences
• Support the modernization of our product’s design language and interaction patterns

Senior Machine Learning Engineer

Senior Server Engineer, Identity Platform

Senior Server Engineer

Senior Product Designer