AI Specialist Representation and Reinforcement Learning

Xanadu

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profile Job Location:

Toronto - Canada

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

About Xanadu:
Xanadus 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 worlds most challenging problems and literally change the world. And that is something to be excited about!

Your role and responsibilities:

As an AI Specialist at Xanadu you will drive applied AI initiatives by deeply analyzing diverse R&D data and processes. Using state-of-the-art machine learning and AI techniques such as representation learning generative modeling reinforcement learning etc. you will uncover hidden patterns in research across various technical fields. This work will directly contribute to developing internal R&D tool stacks to advance the first commercially viable quantum computer.

The AI team focuses on building and improving modeling optimization simulation data processing and design methodology for all internal research. At the intersection of multiple technical disciplines you will collaborate with leading researchers scientists engineers and software developers using cutting-edge AI/ML to enhance software tools and potentially transform research processes. You will:

  • Investigate and analyze complex structured and unstructured data from various internal R&D projects to identify key trends and insights.
  • Develop generalizable representation/reinforcement/generative learning strategies for diverse research data addressing both theoretical and engineering challenges.
  • Design and implement machine learning and optimization algorithms based on learned representations to solve specific R&D problems.
  • Develop and rigorously test new ML algorithms and tool kits to improve R&D efficiency.
  • Collaborate closely with hardware engineers and scientists to create and implement novel ML-driven solutions for complex research challenges.
  • Establish and maintain reproducible data analysis and modeling workflows.

At Xanadu we primarily work with Python Jupyter Jax GitHub Docker CI pipelines and multiple cloud platforms. Proficiency in these technologies is essential.

Basic qualifications and experience:

  • Physics Math Computer Science Engineering or a related field.
  • 4 years of industry experience in deep learning/AI/ML including at least one of these topics: representation learning reinforcement learning geometric deep learning computer vision NLP generative models GFlowNet control theory.
  • Strong knowledge of Python and its numerical/scientific ecosystem (jax numpy pandas xarray pytorch cuda scipy sklearn ray etc.)
  • Deep mathematical understanding of machine learning and optimization
  • Experience with designing and building novel and generalizable representations of complex data structures with symmetries.
  • Hands-on experience with large scale training of neural networks for RL LLMs diffusion models or other types of generative modeling.
  • Experience with software development lifecycles including version control code review testing CI/CD logging profiling debugging and documentation.
  • Comfortable working with Linux shell Docker Git and GitHub.
  • Enthusiasm for learning new technologies and scientific concepts with minimal supervision.
  • Solid communication and collaboration skills.
  • Strong self-driven analytical and problem-solving abilities.
  • Good knowledge of physics and linear algebra.

Preferred qualifications and experience:

  • MSc/PhD in Computer Science Engineering Physics Math or related field.
  • Excellent knowledge in physics and linear algebra.
  • Familiarity with or curiosity towards quantum computing.
  • Rich experience in any of these areas:
    • GFlowNet
    • Geometric deep learning and equivariant models.
    • ML on ultrafast embedded systems
    • Modeling and simulation of physical systems on high performance computing hardware
    • Training of commercial grade LLMs
This is for an existing position. Your base salary will be determined based on your location experience and internal benchmarks. The base salary range is 120000 - 170000 CAD. You will also be eligible for equity and benefits.

Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here.

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 .

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. If you would like more information about how your data is processed please contact us.


Required Experience:

Manager

About Xanadu:Xanadus 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 ...
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Xanadu is a Canadian quantum computing company with the mission to build quantum computers that are useful and available to people everywhere.

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