AI Specialist - Applied ML Research

Job Description

Job Title: AI Specialist - Applied ML Research. Location: Toronto, Ontario, Canada

Responsibilities:

• Develop representation learning, reinforcement learning, and generative learning strategies for research data
• Build and implement ML-based optimization methods for hardware and software systems
• Analyze structured and unstructured R&D data to identify trends and insights;
• Improve internal research workflows using advanced AI and machine learning techniques
• Collaborate with researchers, engineers, scientists, and software developers on ML-driven solutions
• Maintain reproducible workflows for modeling, simulation, and data analysis;
• Support quantum hardware research through optimization, simulation, and AI-enhanced tooling
• Integrate state-of-the-art ML developments into internal R&D systems and platforms

Qualifications:

• Bachelor’s degree in Physics, Mathematics, Computer Science, Engineering, or related field
• 5+ years of industry experience in AI, ML, deep learning, data science, optimization, simulation software, or control systems
• Strong experience with Python and scientific computing ecosystems such as JAX, NumPy, Pandas, PyTorch, CUDA, SciPy, and Scikit-learn
• Deep understanding of machine learning, mathematics, optimization, linear algebra, and statistics
• Experience with GPU programming and CUDA;
• Experience with software development workflows including version control, testing, CI/CD, debugging, and documentation
• Comfortable working with Linux, Docker, Git, and GitHub
• Strong analytical, communication, and collaboration skills

Preferred:

• Master’s or PhD in Computer Science, Physics, Engineering, Mathematics, or related field
• Experience with reinforcement learning, generative modeling, representation learning, or geometric deep learning
• Experience training large-scale neural networks or commercial-grade LLMs
• Experience building simulators for physical systems and control systems;
• Familiarity with quantum computing concepts and technologies
• Experience in HPC simulation, computer vision, signal analysis, or GFlowNet systems

Benefits and Compensation:

• Base salary range of CAD 140,000 to CAD 190,000
• Equity and employee benefits included
• Opportunity to work on advanced AI and quantum computing technologies
• Collaborative and research-focused environment

Other Information:

• Equal opportunity employer committed to diversity and inclusion
• Workplace accommodations available during recruitment process
• AI tools may be used during applicant screening and assessment, with final hiring decisions made by humans