Staff Applied Scientist Human Performance AI
Staff Applied Scientist Human Performance AI
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USD 195390 - 225810
1 Vacancy
Job Description
Who We Are
At Tonal we know firsthand that too many hurdles stand between each of us and our fitness goals. Drawing on decades of research and a diverse team of experts we have created the most intelligent strength training system available that makes working out more efficient effective and engaging.
We are applying our collective knowledge and creativity to reimagine working out leveraging hardware software video content artificial intelligence and computer vision to help customers achieve their fitness goals.
Were passionate about building products that help our customers thrive.
Overview
Tonal is looking for a Staff Applied Scientist (Human Performance AI) to help expand Tonals intelligence across movements training modalities and member goals. Youll be joining a highimpact team at the intersection of machine learning biomechanics and product innovation building algorithms that adapt workouts enhance coaching and personalize progression using the largest strength training dataset in the world. With millions of workouts collected across diverse users and enriched by data from cameras cable sensors and external trackers Tonal has a oneofakind platform for realworld AI.
This role will be instrumental in developing models that enable new modalities and movements detect fatigue predict performance define new training metrics and learn how to relate to effort engagement and outcomes.
What You Will Do
Design and build advanced machine learning models and algorithms that power personalized training form feedback and intelligent progression
Analyze movement patterns to identify fatigue inefficiencies or injury risk using realworld sensor data
Define new metrics for training effectiveness effort and performance beyond traditional volume or weight lifted
Apply selfsupervised and transformerbased learning methods to extract insight from unlabeled or minimally labeled data
Prototype and productionize models that enhance Tonals coaching capabilities and member experience
Collaborate with Sports Science Product and Software teams to bring new intelligent features to life
Use analytics to validate model impact guide feature design and support continuous learning in deployed models
Mentor teammates and help shape Tonals longterm data science and AI roadmap
Who You Are
A selfdriven machine learning scientist with experience owning applied AI projects endtoend and a passion for building meaningful realworld products
7 years of experience or 5 with a Masters degree or PhD with 3 years of experience in applied machine learning or data science
Strong background in modeling timeseries human motion or physical sensor data (e.g. force velocity pose estimation)
Proficient in Python and familiar with ML frameworks like PyTorch or TensorFlow
Experience working with large datasets in modern environments like Databricks or Snowflake.
Strong communicator who thrives in crossfunctional settings and can simplify complex models for a product audience
Demonstrated ability to experiment rapidly iterate thoughtfully and deliver productionlevel code
Extra Credit
Experience deploying ML models to realtime systems or edge devices
Experience with transformer architectures or selfsupervised learning
Background in biomechanics kinesiology or sports science
Interest in fitness performance training or personalized coaching
At Tonal we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We dont just appreciate differences we celebrate them and we always seek people that represent a wide variety of backgrounds. Were 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 were looking for (even if you dont 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 All requests will be addressed and responded to in accordance with Tonals Accessibility Policy and local legislation.
Required Experience:
Staff IC
Employment Type
Full-Time
