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Added 2 months ago
CS
Distributed Software Engineer
Cerebras Systems
Remote, Canada
- Full-time
- Remote
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 2 months ago
P
Senior Full Stack Engineer
Procurify
Remote, Canada
- $122,000 to $152,000 CAD / year
- Full-time
- Remote
You’re a person with a knack for solving some of the most pressing technology challenges in SaaS application development while levelling up the team of engineers around you, and you’re…
Added 2 months ago
AG
Senior AI Developer / Développeur(se) IA senior
Aduna Global
Montreal, QC
- Full-time
…and trust model, the guardrails and the observability that go with…
Added 2 months ago
M
AI Engineer, Innovation
MNP
AB
- Full-time
Inspirational, innovative and entrepreneurial - this is how we describe our empowered teams. Combine your passion with purpose and join a culture that is thriving in the face of change.
Added 2 months ago
MM
Oliver Wyman - Senior Lead AI Developer
Marsh McLennan
Toronto, ON · Montreal, QC
- Full-time
No two OW Quotient projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Senior Lead AI Developer, you…
Added 2 months ago
C
Gen AI Engineering and Scaled AI Transformation
Citi
Mississauga, ON
- Full-time
Ensures solutions are built with enterprise-grade reliability, explainability, and extensibility.
Added 2 months ago
B
Senior Business System Analyst
BMO
Toronto, ON · SCC
- Full-time
…technology capabilities. As a central organization, DnA collaborates with groups across the bank such as Finance, Risk, AML, FCU, HR, Marketing, Wealth, Capital Markets, Personal and…
Added 2 months ago
X
AI Specialist - Representation and Reinforcement Learning
Xanadu
Toronto, ON
- Full-time
At Xanadu, we primarily work with Python, Jupyter, Jax, GitHub, Docker, CI pipelines, and multiple cloud platforms. Proficiency in these technologies is essential.
Added 2 months ago
X
AI Specialist - Applied ML Research
Xanadu
Toronto, ON
- Full-time
At Xanadu, we primarily work with Python, Jax, GitHub, Docker, CI pipelines, Jupyter and multiple cloud platforms. Proficiency in these technologies is essential.
Added 2 months ago
X
AI Specialist - AI For Research
Xanadu
Toronto, ON
- Full-time
At Xanadu, we primarily work with GitHub, Python, AWS, Postgres, Docker, Terraform, and Claude. Proficiency in these technologies is essential.
Added 2 months ago
S
Senior Core Java Developer with E-trade exp.
Synechron
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking a highly skilled Senior Java Developer with AI experience to join the FIC Global Spread Products eTrading Technology team. The successful candidate will contribute to the…
Added 2 months ago
CI
Lead Software Engineer, AI & Emerging Tech
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
You’ll partner with cross-functional teams like Information Security, Engineering, Risk, Legal and Compliance teams to define and agree on AI platform controls, implement those controls…
Added 2 months ago
A
Data Scientist ⭐
Achievers
Toronto, ON
- Full-time
…powered by AI and enjoy solving all the problems that come with building at scale. We don't operate under a rigid structure, as a member of this team, you'll have the opportunity to shape…
Added 2 months ago
MH
Data Engineering Scientist
Maya HTT
Remote, Canada
- Full-time
- Remote
Maya HTT is a world leading developer of digital industries software solutions. The world’s top tier engineering and manufacturing organizations rely on MAYA’s experience and expertise to…
Added 2 months ago
HT
Intern Researcher – Multimodal AI & Interaction
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
Implement interaction logic that combines information across modalities, for example voice with touch or gesture, visual context with language, or sensor events with intelligent system…
Added 2 months ago
GD
Copy of Co-op Winter 2027 - Software Engineering - 4-8 months
General Dynamics Missions System International
Cole Harbour, NS · Ottawa, Ontario
- Internship
Experience with programming or scripting languages such as C++, C, Java, or Python.
Added 2 months ago
AL
Senior Full-Stack Software Engineer
Altis Labs
Remote, Canada
- Full-time
- Remote
Fluency in Python and TypeScript/JavaScript; experience with React, GraphQL, and Docker
Added 2 months ago
GD
Co-op Winter 2027 DevOps Engineering - 8-16 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
…defence operations. These positions provide hands-on experience with build systems, automated testing, tooling evaluation, and DevOps practices. Students gain exposure to critical software…
Added 2 months ago
FR
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
- Full-time
…Fitch Group, a global leader in financial information services with operations in more than 30 countries, which also includes Fitch Solutions. With dual headquarters in London and New York,…
Added 2 months ago
GD
System Integration & Test, Intermediate
General Dynamics Missions System International
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- Full-time
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Added 2 months ago
GD
Co-op January 2027 - Systems Integration, Verification, and Validation - 8-12 months
General Dynamics Missions System International
Calgary, AB
- Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 2 months ago
GD
Co-op Winter 2027 - Software Engineering - 4-8 months
General Dynamics Missions System International
Ottawa, ON
- Internship
Experience with programming or scripting languages such as C++, C, Java, or Python.
Added 2 months ago
GD
Co-op Winter 2027 - Systems Integration, Verification, and Validation - 8-12 months
General Dynamics Missions System International
Ottawa, ON
- Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 2 months ago
F
Senior Data Engineer / Ingénieur(e) de données senior
Flinks
Remote, Canada
- Full-time
- Remote
Technical Foundation: Expert SQL and strong Python skills, with the ability to build scalable, maintainable, and well-tested data solutions that support both operational and analytical…
Added 2 months ago
P
Senior Full Stack Engineer
Procurify
Remote, Canada
- Full-time
- Remote
You’re a person with a knack for solving some of the most pressing technology challenges in SaaS application development while levelling up the team of engineers around you, and you’re…

Xanadu

AI Specialist - Representation and Reinforcement Learning

Toronto, ON, Canada

The base salary range is 140,000 - 190,000 CAD. · Full-time

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Job details

Pay: The base salary range is 140,000 - 190,000 CAD.
Job type: Full-time
Posting language: English
Posted: Sep 2, 2026

Original job description

About Xanadu:

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. What we are doing is extremely hard, the classic moon shot. 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!

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:

BSc. in 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 a new position. Your base salary will be determined based on your location, experience, and internal benchmarks. The base salary range is 140,000 - 190,000 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 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. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Drive applied AI initiatives by analyzing R&D data to uncover patterns using representation and reinforcement learning. Develop internal R&D tool stacks and ML-driven solutions to advance the development of a commercially viable quantum computer.

Requirements

Requires a bachelor's degree in a technical field and 4+ years of industry experience in deep learning and AI. Proficiency in Python and its scientific ecosystem, along with a strong mathematical understanding of machine learning, is essential.

Skills

Representation Learning
Reinforcement Learning
Generative Modeling
Python
Jax
Deep Learning
Optimization Algorithms
PyTorch
Docker
CI/CD
Linear Algebra
Physics
Geometric Deep Learning
Computer Vision
NLP
GFlowNet

Benefits

Equity
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Quantum Computing
Representation Learning
Reinforcement Learning
Generative Modeling
GFlowNet
Geometric Deep Learning
Python
Jax
Numpy
Pandas
Xarray
PyTorch
Cuda
Scipy
Sklearn
Ray
Docker
GitHub
CI Pipelines
Linux Shell
Linear Algebra
Physics
Deep Learning
LLMs
Diffusion Models
Control Theory
Equivariant Models
HPC
Optimization

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