Jobs in Canada

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Added 10 days ago
TT
Senior Full Stack Software Engineer
True Talent Solutions Partners
Canada
- $200,000 to $275,000 USD / year
- Full-time
Candidates must be based in the United States or Canada and authorized to work without sponsorship.
Added 10 days ago
T
Staff Machine Learning Engineer, Sensors & Intelligence
Tonal
Remote, Canada
- $160,000 to $185,000 CAD / year
- Full-time
- Remote
Added 10 days ago
KO
Junior Human Resources Associate
KidStrong of Alberta
Red Deer, AB
- $25 CAD / hour
- Full-time
Added 10 days ago
Gestionnaire senior de l'engagement | Sr Engagement Manager, Services professionnels du secteur public | Public Sector Professional Services
Amazon
Montreal, QC
Added 10 days ago
V
Head of Advisor Technology - Americas
Vanguard
Toronto, ON
- Full-time
…support staff who design, develop, test, implement and monitor software and tools. Acts as a subject matter expert and thought leader, and manages the implementation of divisional products.…
Added 10 days ago
C
Senior Machine Learning Engineer
Clio
Canada
- Full-time
Work in an agile environment with our team of machine learning engineers, MLOps engineers, and software developers across a variety of projects
Added 10 days ago
NT
Full Stack Developer (Java/React) / Développeur(euse) full stack (Java/React)
Nöord Technologies
Montreal, QC
- Contract
…experiencing strong growth, we are actively seeking a Full Stack Developer…
Added 10 days ago
Applications Developer, Workday
Robinhood
Toronto, ON
This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 3 days per week
Added 10 days ago
T
Personal Banking Associate
TD
Dauphin, MB
- Full-time
Proficiency in using MS Office (Word, Excel and Outlook), branch software and internet
Added 10 days ago
T
Personal Banking Associate Trainee - Korean Language Skills Considered an Asset
TD
Coquitlam, BC
- Full-time
Proficiency in using MS Office (Word, Excel and Outlook), branch software and internet
Added 10 days ago
T
Business Intelligence and Reporting Analyst
TD
Toronto, ON · Montreal, QC
- Full-time
Added 10 days ago
T
Business Systems Analyst III
TD
Toronto, ON
- Full-time
Added 10 days ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
We are seeking an experienced Team Lead, Software Engineering to provide hands-on technical leadership for a team of Software Engineers. The Team Lead will typically lead 3–5 engineers and…
Added 10 days ago
T
Personal Banking Associate Trainee
TD
Calgary, AB
- Full-time
Proficiency in using MS Office (Word, Excel and Outlook), branch software and internet
Added 10 days ago
IT - After Hours Support - ASL Distribution (Oakville)
Fastfrate Group
Oakville, ON
Troubleshoot Windows applications, user access, software configurations, and connectivity issues.
Added 10 days ago
Director, IT Infrastructure & Cybersecurity
Winnipeg Airports Authority
Winnipeg, MB
Assume the responsibility of business system owner for relevant software systems
Added 10 days ago
Manager of Revenue
the Town of the Blue Mountains
Thornbury, ON
…receivable and utility modules. Responsible for working with software vendors on system related issues and…
Added 10 days ago
Estimator
Kirmac Collision and Autoglass
Langley (District), BC · Langley, BC
Prepare accurate, timely estimates using industry‑standard software
Added 10 days ago
Technology Lead
Infosys
ON
5 years of experience in software engineering or data science, with 2–3 years in Gen AI or LLM-based systems.
Added 10 days ago
Technology Analyst
Infosys
ON
3–5 years of experience in software engineering, machine learning, or data science, with hands-on experience in GenAI or LLM-based systems.
Added 10 days ago
Q3- NAMORC- S2R - JD Edwards - LCON - Canada
Infosys
Canada
Added 10 days ago
Principal Consultant
Infosys
ON
Candidate must possess atleast 1 of the certifications - CISSP, CISM, CISA, CRISC, CCSP, GIAC,
Added 10 days ago
Water / Wastewater Technologist (CAD Drafting)
ISL Engineering & Landservices
Edmonton, AB
Added 10 days ago
Member IT Services - Senior IT Business Systems Analyst
Mohawk Medbuy Corporation (MMC)
Burlington, ON · Toronto, ON
Added 10 days ago
UO
Astronomical Lead Software Developer
University of Alberta
Edmonton, AB
- Full-time
Primary tasks will include coordinating and overseeing software development activities at the University of Alberta, coordinating contributions with five other Canadian universities and…

Tonal

Staff Machine Learning Engineer, Sensors & Intelligence

Remote, Canada

Remote

$160,000 to $185,000 CAD / year · Full-time

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Job details

Pay: $160,000 to $185,000 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Posting language: English
Posted: Nov 2, 2026

Original job description

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-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

Who You Are

A proven independent researcher with a strong track record of publications in relevant venues (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, IMWUT/UbiComp, CHI, IEEE TBME, J. Biomechanics, or similar)
PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Biomechanics, or a related field strongly preferred; we also welcome candidates whose research experience and publication record demonstrate equivalent depth
Deep expertise in at least one of the following: 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, from data curation through experimentation and analysis
Strong grounding in signal processing, including filtering, calibration, time alignment, and frequency-domain analysis
Rigorous experimental design: you know how to build ablations, avoid leakage across subjects, and tell real gains from noise
Ability to independently define and drive ambiguous research problems toward measurable product impact
Clear communicator who can explain complex findings to scientists, engineers, and product leaders

Extra Credit

Experience pretraining or scaling foundation models, including distributed training and an understanding of scaling behavior
Familiarity with musculoskeletal modeling tools (e.g., OpenSim, MuJoCo, MyoSim) or physics-informed ML
Experience with wearable physiological signals such as IMU, PPG, HRV, or EMG data
Experience with personalization, few-shot adaptation, or uncertainty quantification
Experience with model compression or efficient architectures for edge deployment
Background in human subjects research, data collection protocols, or validation studies
Interest in fitness, sports science, or digital health

At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength.

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.

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More about this job

Responsibilities

Lead the research and development of multimodal foundation models that integrate sensor, video, and physiological data to improve human movement analysis. Collaborate with engineering teams to deploy these models into product features like adaptive coaching and form feedback.

Requirements

Requires a PhD in a relevant field or equivalent research experience with a strong publication record in top-tier venues. Candidates must possess deep expertise in machine learning, sensor fusion, or computer vision, along with hands-on experience in training transformer architectures.

Skills

Machine learning
Foundation models
Computer vision
Sensor fusion
Biomechanics
Physiological signal modeling
Transformer architectures
PyTorch
JAX
TensorFlow
Signal processing
Human pose estimation
Data curation
Experimental design
Time series analysis

Benefits

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

Remote locations

Canada
United States

Remote locations (standardized)

Canada
United States

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Foundation Models
Computer Vision
Sensor Fusion
Biomechanics
Physiology
Transformer
PyTorch
JAX
TensorFlow
Signal Processing
Human Pose Estimation
Multimodal
Time Series
OpenSim
MuJoCo
IMU
PPG
HRV
EMG
Distributed Training
Physics-informed ML
Data Curation
Research
Fitness Technology

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Jobs in Canada