tonal · Toronto, ON
Skills: Accessibility
OVERVIEW Tonal is looking for a Staff Machine Learning Engineer to join our Sensors & Intelligence team and help build foundation models of human movement and physiology. You'll work where machine learning, biomechanics, physiology, and computer vision meet. You'll have access to the largest strength training dataset in the world: millions of workouts captured through cable force and position sensors, cameras, and wearable trackers. Your job is to turn that multimodal data into general-purpose representations of how people move, exert effort, fatigue, and adapt over time. Those representations will power the next generation of Tonal's intelligence: adaptive coaching, form feedback, personalized progression, and advanced musculoskeletal health models. This role combines foundational research with work that reaches our members, and you'll help shape that balance as the team grows. You'll contribute to defining ML research directions, run rigorous experiments, and publish your work, while partnering with engineering to bring breakthroughs into the product. This role is remote-first, based in Toronto, Ontario. We are open to candidates based in Canada and the US. WHAT YOU WILL DO - Lead research and development of multimodal foundation models that learn from synchronized sensor, video, and physiological signals - Design self-supervised pretraining strategies for long, heterogeneous time series data - Develop sensor fusion approaches that handle different sampling rates, sensor noise, synchronization error, and missing modalities - Advance computer vision methods for 2D and 3D human pose estimation, motion reconstruction, and movement quality assessment - Build models that estimate biomechanical and physiological quantities such as joint kinematics, load, effort, fatigue, and recovery - Define evaluation frameworks and benchmarks that measure how well models generalize across users, body types, movements, and equipment conditions - Validate model outputs against gold-sta…
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