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About the Role
As an AI Specialist at Xanadu, you will integrate state-of-the-art AI technologies into R&D processes, contributing to the development of internal automation stacks to advance the first commercially viable quantum computer. The AI team's focus is to accelerate and automate discovery, optimization, and validation for internal research. You will work with world-leading researchers, scientists, engineers, and software developers, infusing cutting-edge AI into internal R&D tooling to super-charge research progress and reshape how work is done.
Responsibilities
- Build automated processes and feedback loops for executing complex research tasks at scale with Agentic AI.
- Develop Reinforcement Learning based environments for training reasoning models.
- Collaborate closely with researchers – theorists, experimentalists, engineers – to craft creative solutions for complex challenges.
- Ensure high-quality production code through automated tests, CI/CD pipelines, and code review processes.
Requirements
- BSc. in Computer Science, Engineering, Physics, Math, or a related field.
- 4+ years of ML/Research Engineer experience developing models and/or AI tools in a scientific/engineering research environment.
- 2+ years of experience in at least one of these areas: Agentic Systems, Reinforcement Learning based feedback loops, or large-scale LLM training and deployment.
- Diverse experience with using and building AI agents, including context/harness engineering, knowledge retrieval, benchmarking performance, and multi-swarm Agent orchestration.
- Strong Software Engineering Skills.
- Good knowledge of physics and linear algebra.
- PhD/MSc in Computer Science, Engineering, Physics, Math, or related field.
- Experience building domain specific agentic systems.
- Deep knowledge in physical sciences or math.
- Familiarity with quantum computing.
Skills
- GitHub
- Python
- AWS
- Postgres
- Docker
- Terraform
- Claude
- Agentic AI
- Reinforcement Learning
- LLM training and deployment
- AI agents
- context/harness engineering
- knowledge retrieval
- benchmarking performance
- multi-swarm Agent orchestration
- Software Engineering
Location
- Canada
Work Type
- Full-time
Experience Level
- 4+ years of ML/Research Engineer experience
- 2+ years of experience in Agentic Systems, Reinforcement Learning based feedback loops, or large-scale LLM training and deployment
Education Level
- BSc. in Computer Science, Engineering, Physics, Math, or a related field.
- PhD/MSc in Computer Science, Engineering, Physics, Math, or related field.
Salary/Compensations
- 140,000 - 190,000 CAD
Benefits
- Equity
- Benefits
About the Company
- Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.
- At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers.
- We are creating something that has never been built before.
- Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems, and literally change the world.
- And that is something to be excited about!
Equal Opportunity
- We are an equal opportunity employer and encourage candidates of all backgrounds to apply.
- We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard.
- We are committed to meeting the needs of all individuals and support a barrier-free workplace.
- Should you require accommodations at any point during the recruitment process please contact Recruiting at recruiting@xanadu.ai.
- Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position.
- These tools assist our recruitment team but do not replace human judgment.
- Final hiring decisions are ultimately made by humans.