About this role
The Senior Machine Learning Engineer position at Strava is a full-time technology role based out of San Francisco or available remotely with a flexible hybrid schedule. This opportunity is ideal for an experienced machine learning professional who wants to build innovative AI systems that motivate millions of active people worldwide.
Role Overview
Strava seeks a skilled professional to join its growing artificial intelligence and machine learning team. This individual will design, roadmap, and implement machine learning algorithms that enhance the consumer fitness application. The professional will work across the entire ML pipeline, from prototyping and evaluation to production deployment and performance optimization, while operating under a hybrid framework that requires three days per week on-site in San Francisco.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Strava serves as the premier application for active people, boasting over 200 million athletes across more than 185 countries. The organization is backed by prominent investors including Sequoia Capital, TCV, Madrone Partners, and Jackson Square Ventures. Committed to maintaining an inclusive and accessible workplace, Strava operates as an equal opportunity employer dedicated to fostering a supportive community for all employees.
How to Apply
Candidates should apply directly on the official Strava careers page to submit their application materials for this position.
Skills and tech stack
Questions candidates ask
What is the salary range for the Senior Machine Learning Engineer role?
The annual salary ranges from $198,000 to $221,500 USD.
Where is this job located?
The role is based out of the San Francisco office with a flexible hybrid model requiring three days per week on-site, alongside remote work options.
What technical skills and tools are required?
Required tools and languages include Python, PyTorch, TensorFlow, SQL, AWS, Java, Scala, Spark, Snowflake, Pandas, NumPy, Scikit-learn, and SageMaker.
What department does this role belong to?
This role belongs to the Technology department, specifically within the AI and Machine Learning team.
How can I apply for this position?
Applicants should visit the official Strava careers website to submit their application.