Senior Machine Learning Engineer

Location Strava SF Employment Type Full time Location Type Hybrid Department Department Technology Engineering Compensation $198K – $221.5K • Offers Equity 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 used by tens of millions. 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 and scaling. Shape AI at Strava : Be a strong voice on a highly collaborative team, work across teams to deploy ML solutions and build technical ML capabilities. Innovate in AI for Fitness : Design and develop novel models and methods to improve athlete experience. Build from a rich dataset : Explore and use Strava’s extensive datasets to extract actionable insights and optimize features. You Will Be Successful Here By Driving innovation with Product in mind : Stay up‑to‑date and advocate innovative techniques. Leading as an Owner : Own your work end‑to‑end. Analyzing the Data : Collaborate to apply ML to drive business impact. Collaborating in and across teams : Build relationships and communicate. Raising the ML standard : Help best practices for model development and deployment. Being passionate about work and contributing positively to inclusive culture. What You’ll Bring to the Team Have worked on numerous machine learning problems and broken them into incremental tasks. Have demonstrated solid interpersonal and communication skills and collaborative approach. Have experience building, shipping, and supporting ML models in production at scale. Have experience with exploratory data analysis and model prototyping, using Python or R and tools like scikit‑learn, pandas, numpy, PyTorch, TensorFlow, and SageMaker. Have built and worked on data pipelines using large‑scale technologies like Spark, Hadoop, EMR, SQL, and Snowflake. Are experienced and interested in production ML operational excellence and best practices, e.g., automated retraining, monitoring, feature logging, A/B testing. Have built backend production services on cloud environments like AWS, using Python, Ruby, Java, Scala, Go. Equal Opportunity Employer Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender identity or expression, pregnancy or pregnancy‑related condition, marital status, height and/or weight. We will ensure individuals with disabilities are provided reasonable accommodation to participate in the job application 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 #J-18808-Ljbffr