Staff Machine Learning Engineer, Sensors – Intelligence

Job not on LinkedIn

🔥 47 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 CA$160k - CA$185k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Tonal

WebsiteLinkedInAll Job Openings

501 - 1000 employees

👥 B2C

🔧 Hardware

B2C • Fitness • Hardware

Tonal is a cutting-edge home gym system that combines technology and exercise science to offer a personalized and efficient workout experience. It provides real-time resistance adjustments and data-driven coaching to help users maximize their fitness routine. With expert coaching, personalized tracking, and a variety of energizing workouts, Tonal aims to promote strength training and overall fitness from the convenience of home. This smart gym system uses AI to deliver insights and tailor workouts, ensuring users are always challenged and motivated to improve their physical health.

📋 Description

• Lead research and development of multimodal foundation models using synchronized sensor, video, and physiological signals • Design self-supervised pretraining strategies for long, heterogeneous time-series data • Develop sensor-fusion approaches addressing sampling rates, sensor noise, synchronization error, and missing modalities • Advance 2D and 3D human pose estimation, motion reconstruction, and movement quality assessment • Build models estimating joint kinematics, load, effort, fatigue, and recovery • Define evaluation frameworks and benchmarks for generalization across users, body types, movements, and equipment conditions • Validate model outputs against 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 at top venues and represent Tonal through papers, talks, and collaborations • Mentor scientists and engineers and help set the scientific direction of the Sensors & Intelligence team

🎯 Requirements

• Proven independent researcher with a strong track record of publications in relevant venues • PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Biomechanics, or a related field strongly preferred; equivalent research experience and publication record welcomed • Deep expertise in sensor fusion, biomechanics, physiological signal modeling, or computer vision for human motion • Hands-on experience designing, training, and debugging transformer architectures, including attention mechanisms, positional encoding for time series, and multimodal tokenization • Proven ability to train and develop ML models end to end in PyTorch, JAX, or TensorFlow • Strong grounding in signal processing, including filtering, calibration, time alignment, and frequency-domain analysis • Rigorous experimental design, including ablations and avoiding leakage across subjects • Ability to independently define and drive ambiguous research problems toward measurable product impact • Clear communication of complex findings to scientists, engineers, and product leaders • Legally authorized to work in the US and/or Canada

🏖️ Benefits

• Equity • Health insurance • Retirement savings benefits • Life insurance • Disability benefits • Flexible paid time off • Parental leave • Other additional benefits

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