Hybrid Senior Machine Learning Specialist – AI/ML Software Developer

at cmlabs

• Job title: Senior Machine Learning Specialist – AI/ML Software Developer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Montreal, Canada

About the role

• Senior Machine Learning Specialist driving AI capabilities for CM Labs’ simulation and training products. Leading development of reinforcement learning and imitation learning algorithms for realistic environments.

Responsibilities

• Provide technical leadership in developing, training, and validating reinforcement learning (RL) and/or imitation learning (IL) algorithms for embodied agents in realistic simulated environments, using both synthetic and user data.
• Apply the appropriate approach based on context—RL, IL, classical control, or planning methods—with a focus on product value.
• Collaborate with domain experts and engineers to design effective training tasks and optimization objectives.
• Contribute to integrating AI capabilities into CM Labs’ training products and the Vortex platform.
• Stay current with advances in RL and embodied AI, and clearly document experiments, models, and results.
• Share knowledge and mentor team members on machine learning best practices.

Requirements

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related field.
• Minimum 5 years of experience in machine learning, robotics, or control systems.
• Expertise in reinforcement learning and imitation learning for robotics or embodied agents.
• Strong understanding of classical control and planning methods (e.g., inverse kinematics, trajectory optimization, RRT, PID).
• Proficiency in Python development and deep learning frameworks such as PyTorch (preferred), TensorFlow, or JAX.
• Familiarity with cloud ML workflows and MLOps tools.
• Experience deploying AI/ML models.
• Excellent communication skills and ability to collaborate with technical and product teams.
• Experience with software development best practices, version control (Git), and Agile methodologies.

Benefits

• The opportunity to make a real-world impact by working on innovative, challenging projects and building cutting-edge technology;
• Flexible working hours;
• Work–life balance initiatives;
• Paid week off between Christmas and New Year’s (additional paid week of vacation);
• Company discounts (transportation, gym, ski passes, special events).