Senior Machine Learning Engineer, Human Motion

San Francisco, CA /
Technology – Software /
Full-Time, Remote
Who We Are

Tonal is the smartest home gym and personal trainer. It has completely revolutionized the way people work out at home, with its sleek design and advanced A.I. technology. We’ve united a diverse team of experts and decades of research to reinvent strength training, making it more efficient, more effective and more engaging. 

With this in mind, we want to bring that same innovative approach to the workplace. At Tonal, we continue our shift of emphasis by growing our instrumental team. We collectively weave our knowledge and creativity, as we redefine the future of fitness. We are passionate about building products that transform lives, and building teams that transform the status quo. Together, we can be our strongest.  


What You Will Do

    • Architect implementation of robust machine learning algorithms and related infrastructure
    • Sense, understand, and derive insight into human motion while exercising
    • Write efficient, performant, and maintainable code in Kotlin, Python, C/C++, Go, and/or SQL
    • Efficiently store and retrieve large volumes of data for ML training and algorithm development
    • Develop feature processing for machine learning models in TensorFlow and others
    • Built efficient ML pipelines over real-time sensor data
    • Collaborate closely with data scientists to invent algorithms
    • Dynamically adjust resistance to optimize training effectiveness and safety

Who You Are

    • BS or higher degree in engineering field or equivalent experience
    • Strong knowledge of Python and one of Java, C/C++, Kotlin, or Go
    • Experience with signal processing or machine learning algorithms
    • Passionate and curious about fitness products
    • Team player with high integrity
    • Open to feedback and constantly striving to improve
    • High degree of self-awareness

Extra Credit

    • Experience with gyros and accelerometers, computer vision, machine learning, or control theory
At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don’t just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We’re dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we’re looking for (even if you don’t check every single box), send us your application. We would love to hear from you!
 
Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, accessibility@tonal.com. All requests will be addressed and responded to in accordance with Tonal’s Accessibility Policy and local legislation.