Staff Machine Learning Engineer

Remote AI and machine learning roles on HireSkys range from AI engineering and NLP to computer vision and prompt engineering. Listings usually name their frameworks and models — match them against your own hands-on work before applying.

* 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-standard references such as motion capture, force plates, and clinical-grade physiological sensors * Work with ML Engineering to adapt research models for cloud deployment and on-device inference * Publish regularly at top venues and represent Tonal in the research community through papers, talks, and collaborations * Mentor scientists and engineers and help set the scientific direction of the Sensors & Intelligence team

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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.