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This listing was closed on Jul 19, 2026.
Browse Open JobsMachine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Sanctuary AI. in VANCOUVER, CA. Imported listing (source: ca.linkedin.com). Apply on the employer's site (ca.linkedin.com).
Imported listing (source: ca.linkedin.com) · Apply on ca.linkedin.com
VANCOUVER · CA
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from ca.linkedin.com
Sanctuary AI is seeking a Machine Learning Engineer to build robust systems for training and deploying ML policies on general-purpose robots. The role involves collaborating with researchers to implement novel ML techniques and connecting state-of-the-art methods to real-world performance. You will work on challenges in robotic perception, manipulation, planning, and reasoning.
Responsibilities
- Collaborate with cross-functional teams to apply ML techniques to complex problems. Design, develop, and deploy ML models into production. Optimize and fine-tune algorithms for performance. Conduct testing and validation. Stay updated on ML advancements. Provide technical guidance and mentorship.
Requirements
- Master's or PhD in CS, Engineering, or related field. 3+ years of ML experience specializing in reinforcement/imitation learning, computer vision, or NLP. 4+ years of software engineering experience. Hands-on production deployment. Proficiency in PyTorch, TensorFlow, scikit-learn. Experience with ROS2 and parallel computing (CUDA, OpenMP). Strong Python and C++ skills. Knowledge of ML techniques (supervised/unsupervised, deep learning, reinforcement learning, NLP).
Nice to Have
- Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing (Spark). Publications are welcome but not expected. Familiarity with robotics principles and technologies.
Sanctuary AI
Vancouver · CA · 164+ employees
Sanctuary AI develops general-purpose humanoid robots powered by physical AI. Its technology is designed for industrial applications to automate complex tasks and address labor-related challenges.
