Strava is hiring: Machine Learning Engineer in San Francisco

About Strava

Strava is the app for active people. With over 180 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey with Strava today.

Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.

We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models and systems which provide value to Strava athletes including personalization, recommendations, search, and trust and safety. The team also maintains the ML platform and infrastructure that enables our team to iterate on models quickly and deploy them reliably at scale.

This is an important role in the ML team and across Product teams designing, roadmapping, and implementing innovative machine learning algorithms. We value full stack ML engineers who are able to work on all parts of an ML pipeline from model building, evaluation, optimizing performance, and ensuring the scalability and reliability of these production models. We also seek those who can improve the systems and tools behind the ML pipeline to further empower the team.

We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco Office — three days per week.

What You’ll Do

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

Craft End to End AI Systems: Contribute to 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: Bring your voice and creativity to 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

You Will Be Successful Here By

Driving innovation with Product in mind: Stay up-to-date with the latest research in machine learning, AI, and related fields. Experiment, advocate and get buy-in for innovative techniques to improve existing products or explore new features that result in step function changes to how we build AI at Strava.

Be Accountable: Owning your work end-to-end and being accountable for the outcomes in the projects you contribute to. Ensure the end-to-end system delivers as expected through collaboration with partners.

Analyzing the Data: Work closely with product managers, data scientists, and engineers to find opportunities for applying machine learning to drive business impact and enhance Strava’s features and measure impact.

Collaborating in and across teams: Build relationships and communicate with cross-functional partners and product verticals to identify opportunities and bring the team’s technical vision to life.

Raising the ML standard: Use best practices for model development, deployment, and maintenance. Keep a high bar for quality in everything you do.

Being passionate about the work you are doing and contributing positively to Strava’s inclusive and collaborative team culture and values

What You’ll Bring to the Team

Have worked on impactful machine learning problems delivering incremental progress towards long‑term goals.

Have demonstrated solid interpersonal and communication skills, and collaborate across teams.

Have experience building, shipping, and supporting ML models in production at scale.

Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, and Sagemaker.

Have built and worked on data pipelines using large scale data technologies (like Spark, Hadoop, EMR, SQL, and Snowflake).

Are experienced and interested in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, and A/B testing.

Have built backend production services on cloud environments like AWS, using languages like (but not limited to) Python, Ruby, Java, Scala, and Go.

For information on benefits, please click here.

Why Join Us?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.

Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.

When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.

Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world‑class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.

Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy‑related condition, marital status, height and/or weight.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

California Consumer Protection Act Applicant Notice

Compensation Range: $160K - $180K

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In Summary: We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava . This team is responsible for sophisticated machine learning models and systems . The team maintains the ML platform and infrastructure that enables our team to iterate on models and deploy them reliably at scale .

En Español:

Strava es la aplicación para personas activas. Con más de 180 millones de atletas en más de 185 países, es más que un seguimiento de los entrenamientos donde las personas progresan juntas, desde nuevos hábitos hasta nuevas mejoras personales. No importa su deporte o cómo lo rastrees, Strava te tiene cubierto. Encuentra a tu equipo, aplastar tus objetivos y hacer valer todos los esfuerzos. Comience tu viaje con Strava hoy mismo. Nuestra misión es simple: motivar a las personas a vivir sus mejores vidas activas . Creemos en el poder del movimiento para conectar y impulsar a la gente hacia adelante. Buscamos un ingeniero de máquina para unirse al creciente equipo de aprendizaje artificial e inteligencia artificial (AI) de Strava. Este equipo es responsable de modelos sofisticados de machine learning y sistemas de escalación que proporcionan valor a los atletas de Straba incluyendo personalización, recomendaciones, búsqueda y seguridad. También buscamos a aquellos que puedan mejorar los sistemas y herramientas detrás de la tubería ML para empoderar aún más al equipo. Seguimos un modelo híbrido flexible que se traduce en más de la mitad de su tiempo en el sitio en nuestra Oficina de San Francisco tres días por semana. Lo que harás Construir para un producto de consumo bien amado: Trabajar en la intersección de IA y aptitud para lanzar y optimizar las experiencias del producto que serán utilizadas por decenas de millones de personas activas en todo el mundo. Experimentar, abogar y comprarse técnicas innovadoras para mejorar los productos existentes o explorar nuevas características que resulten en cambios de función gradual en la forma en que construimos IA en Strava. Ser responsable: poseer su trabajo de extremo a extremo y ser responsable por los resultados en los proyectos a los que contribuye. Asegurarse de que el sistema de extramo a extrmo entregue lo esperado mediante colaboración con socios. Analizar los datos: Trabajar estrechamente con gerentes de producto, científicos de datos e ingenieros para encontrar oportunidades para aplicar el aprendizaje automático para impulsar el impacto empresarial y mejorar las funciones e medidas de Strava's. Colaborar en equipos e impactos: Construir relaciones y comunicarse con socios interfuncionales y verticales para identificar oportunidades y dar vida a las prácticas técnicas del equipo. Elevar el estándar ML: Usar una visión para desarrollar modelos, implementarlos y mantenerlo mejor. Mantenga un alto nivel de calidad en todo lo que hace. Sea apasionado por el trabajo que está haciendo y contribuya positivamente a la cultura e valores del equipo inclusivo y colaborativo de Stravas Lo que traerá al equipo Ha trabajado sobre problemas impactantes de aprendizaje automático para lograr progresos incrementales hacia objetivos a largo plazo. Ha demostrado habilidades interpersonales y de comunicación sólidas, y colabora entre equipos. Tiene experiencia en la construcción, envío y soporte de modelos ML en producción a escala. Si usted está dando forma a la tecnología, creciendo nuestra comunidad o impulsando la innovación, su trabajo en Strava tiene un impacto. Cuando se une a Strava, no solo se una a una empresa se está uniendo a un movimiento. Si está listo para aportar su energía, ideas y impulso, construyamos algo increíble juntos. Strava desarrolla software que mejora aún más el día de nuestros atletas. Así como estamos profundamente comprometidos con desbloquear sus potenciales, nos dedicamos a proporcionar un lugar de trabajo inclusivo de clase mundial donde nuestros empleados también puedan crecer y prosperar. Estamos respaldados por Sequoia Capital, TCV, Madrone Partners y Jackson Square Ventures, y estamos expandiéndonos para superar las necesidades de nuestra comunidad global de deportistas. De acuerdo con los valores de Strava, tomamos todas las decisiones sobre el empleo, incluidas oportunidades de contratación, evaluación, terminación, promoción y capacitación, sin importar la raza, religión, color, sexo, edad, origen nacional, ascendencia, orientación sexual, discapacidad física, incapacidad mental, condición médica, deficiencia, género o identidad u expresión, embarazo o condición relacionada con el embarazo, estado civil, altura y/o peso. Nos aseguraremos de que a las personas con discapacidad se les proporcione un alojamiento razonable para participar en el proceso de solicitud de trabajo o entrevista, realizar funciones laborales esenciales y recibir otros beneficios y privilegios del empleo. Por favor póngase en contacto con nosotros para solicitar alojamientos. Rango de compensación de notificación de solicitantes de la Ley de Protección del Consumidor de California: $160K - $180K #J-18808-Ljbffr