Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and AI, with experience in developing and deploying machine learning models that drive user engagement and personalization. Your proficiency in Python allows you to build robust systems that can handle complex data processing tasks. You understand the intricacies of model performance monitoring and are adept at ensuring the reliability and stability of machine learning platforms. You thrive in collaborative environments, working closely with cross-functional teams to gather requirements and drive project success. You are passionate about leveraging technology to enhance user experiences and are excited about the potential of generative AI. You have a proactive approach to problem-solving and are always looking for ways to improve existing systems and processes.

Desirable

Experience with Kubernetes and cloud platforms is a plus, as it enables you to manage and scale machine learning applications effectively. Familiarity with TensorFlow or similar frameworks will help you contribute to the development of advanced AI solutions. A background in data engineering or analytics can also enhance your ability to work with large datasets and derive actionable insights.

What you'll do

In this role, you will own end-to-end systems for AI and machine learning at Strava, driving key projects from initial stakeholder requirements to full implementation. You will collaborate with product managers and engineers to define the scope of projects and ensure alignment with business goals. Your responsibilities will include developing machine learning models that enhance personalization and recommendations for Strava athletes. You will also monitor model performance and make necessary adjustments to optimize outcomes. As part of the AI and Machine Learning team, you will contribute to the strategic direction of machine learning initiatives and help unlock new technological capabilities for the future. You will participate in code reviews and provide mentorship to junior engineers, fostering a culture of learning and innovation within the team.

What we offer

Strava offers a flexible hybrid work model, allowing you to spend more than half your time on-site in our San Francisco office. You will be part of a mission-driven company that values the power of movement and community. We provide competitive compensation and benefits, including opportunities for professional development and growth within the organization. Join us in motivating people to live their best active lives while working on cutting-edge technology that impacts millions of athletes worldwide.