As of November 7, 2026, Jobsy lists 16 staff machine learning engineer jobs in Canada. The most active employers are Twilio, Okta and Jobgether. Skills often requested: machine learning, ml, python and aws.
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Samsara: The company's mission is to increase the safety, efficiency, and sustainability of the operations that power the global economy.
8+ YOECandidates need 8+ years as a Machine Learning Engineer, experience optimizing models for edge hardware limits, and strong coding in Python and C++ or Rust. They must have shipped large-scale production code and be able to explain technical ideas to both engineers and leadership.
Candidates need a strong independent research record, ideally a PhD in a related field, and deep expertise in sensor fusion, biomechanics, physiological signals or computer vision. They also need hands-on transformer and PyTorch, JAX or TensorFlow experience, signal processing skills, and strong communication.
PyTorch, JAX, TensorFlow, motion capture systems, force plates, OpenSim
Candidates need a proven independent research record with publications at top venues, deep expertise in sensor fusion, biomechanics, physiological signals or human-motion vision, and hands-on transformer and PyTorch, JAX or TensorFlow experience. A PhD is strongly preferred, and equivalent research depth is accepted.
10+ YOECandidates need 10+ years building production ML systems, strong deep learning or remote sensing experience, and hands-on work with PyTorch, TensorFlow, XGBoost or LightGBM. A background in wildfire science, forestry or remote sensing, and experience with cloud ML platforms such as GCP Vertex AI, are also expected.
8+ YOECandidates need 8+ years of applied ML/AI experience, proficiency in Python, and experience building cloud services on AWS, GCP or Azure. Strong knowledge of statistical ML, transformers and LLMs, plus ML Ops and evaluation experience, is required.
8+ YOECandidates need 8+ years of applied ML/AI experience, strong Python skills, and experience building cloud services on AWS, GCP or Azure. They must know machine learning and LLM fundamentals, have worked in ML Ops, and be comfortable building in ambiguous, fast-moving settings.
8+ YOECandidates need 8+ years of applied ML/AI experience, proficiency in Python, and experience building cloud services on AWS, GCP or Azure. Strong knowledge of statistical ML, transformers and LLMs, plus ML Ops and evaluation experience, is required.
8+ YOECandidates need 8+ years of applied ML/AI experience, strong Python skills, and experience building cloud services on AWS, GCP or Azure. They must know machine learning and LLM fundamentals, have worked in ML Ops, and be comfortable building in ambiguous, fast-moving settings.
6+ YOECandidates need 6+ years of ML software experience and 4+ years building home feed recommendation systems for social or user-generated content platforms. They need deep knowledge of the recommender stack, the math behind ML algorithms, and a CS degree at the BS, MS or PhD level.
12+ YOECandidates need 12+ years of software or ML experience, including production ML systems at scale in personalization, search or ad tech. Strong distributed systems, data pipeline and system design skills, plus a bachelor's degree in a technical field, are required.
Machine learning, ML, Coaching, Computer science, Child care
8+ YOEOkta needs candidates with 8+ years of software development, strong Python skills, and hands-on experience with applied machine learning and generative AI platforms. A Bachelor's or Master's in computer science or a related field is required.
7+ YOECandidates need 7+ years of software development experience, strong Python skills and hands-on work with generative AI platforms and RAG. Experience with AI agent frameworks, ML frameworks and defining ML evaluation metrics is also required.
7+ YOECandidates need 7+ years of software engineering experience, with substantial time building and operating ML systems in production. They need strong Python, a typed language such as Java, hands-on cloud model-serving experience, and MLOps and technical leadership skills.
Babylist: The Babylist ecosystem now includes Babylist Health, which provides access to products and services including insurance-covered breast pumps,…
Candidates need experience shipping recommendation or personalization systems at scale in a consumer product, with strong recommender fundamentals such as candidate generation, ranking and cold start. They should be fluent in Python ML tooling, own models through deployment and monitoring, and connect model changes to conversion or revenue.
Python, AWS SageMaker, MLflow, Snowflake, Rails, MySQL
SandboxAQ: SandboxAQ is a B2B company delivering AI solutions that address some of the world's greatest challenges.
8+ YOECandidates need a computer science or software engineering background, 8+ years of postgraduate software experience, and a record of building scalable ML systems. Strong Python skills with PyTorch, TensorFlow, JAX, NumPy and Pandas, plus MLOps practice, are essential.
StackAdapt: StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision.
Candidates need deep knowledge of algorithms, software design and distributed systems, experience implementing probabilistic or machine learning algorithms, and the ability to take ambiguous problems through to completion. A strong computer science background or equivalent competitive tech experience is expected.