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Publié il y a 3 mois

AI Specialist - AI For Research

@ Xanadu

Toronto, Ontario

HybrideTemps plein4+ ans d’expérience
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En bref

Xanadu is hiring an AI Specialist for AI for Research, a full-time role integrating agentic AI and reinforcement learning into internal R&D tooling for quantum computing. The work involves building automated research pipelines, RL environments for reasoning models, and production-quality code with tests and CI/CD. The posting states a base salary of 140,000 to 190,000 CAD plus equity and benefits.

Responsabilités :

  • Build agentic AI processes for complex research tasks at scale
  • Develop reinforcement learning environments for training reasoning models
  • Collaborate with theorists, experimentalists and engineers on R&D challenges
  • Ensure production code quality through tests, CI/CD and code review

Résumé des exigences :

  • BSc in computer science, engineering, physics, math or related field
  • 4+ years of ML or research engineering experience
  • 2+ years in agentic systems, RL feedback loops or LLM training
  • Strong software engineering skills
  • Good knowledge of physics and linear algebra

Outils et compétences

Source et dates

Type de source non vérifié · hibob

Date publiée par l’employeur
2026-08-17
Première détection par notre source
2026-10-27
Mise à jour du dossier source
2026-10-27

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDonnées et analytique
Expérience4 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé), Maîtrise (préféré), Doctorat (préféré)
Domaines d’étudesComputer Science, Engineering, Physics, Mathematics
Avantages mentionnésActions ou participation

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Xanadu

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Description complète de l’entreprise

Xanadu Quantum Technologies Inc. is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers. Founded in 2016, Xanadu's mission is to build quantum computers that are useful and available to people everywhere. To achieve this mission, the company has taken a full-stack approach and builds hardware, software, and pursues state-of-the-art research with select partners. The company is also advancing the field of quantum machine learning (QML) through the development of PennyLane, an open-source project that has become a leading software library among quantum researchers and developers. Xanadu is bringing together exceptional minds from around the world to build something extraordinary. Learn more at xanadu.ai

Abonnés LinkedIn
56 801
Personnes associées sur LinkedIn
342
Bureaux déclarés
  • Toronto, Ontario M5B 2H7, CA
Autres noms enregistrés
  • Xanadu
Spécialités
  • Quantum Computing
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Cloud Computing
  • Quantum Simulations
  • and Quantum Algorithms
Le profil indique une agence de recrutement
Non

Xanadu Quantum Technologies Inc. is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers. Founded in 2016, Xanadu's mission is to build quantum computers that are useful and available to people everywhere. To achieve this mission, the company has taken a full-stack approach and builds hardware, software, and pursues state-of-the-art research with select partners…

ChampValeur
SecteurComputer Hardware Manufacturing
Taille51-200 employees
Siège socialToronto, Ontario
Type d’organisationPrivately Held
Fondée en2016
SpécialitésQuantum ComputingArtificial IntelligenceMachine LearningDeep LearningCloud ComputingQuantum Simulationsand Quantum Algorithms
Offres sur Jobsy75
LinkedInVoir la page
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. 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 play a crucial role in integrating state of the art AI technologies into our R&D processes. This unique position allows you to contribute to the development of our internal automation stacks, aimed at advancing the first commercially viable quantum computer. The AI team’s focus is to accelerate and automate the discovery, optimization, and validation for our internal research. Situated at the intersection of multiple technical disciplines, you will have the opportunity to work with world leading researchers, scientists, engineers, and software developers. By infusing cutting-edge AI into internal R&D tooling, you have the chance to super-charge their research progress and even reshape how they work. You will:
  • 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.

At Xanadu, we primarily work with GitHub, Python, AWS, Postgres, Docker, Terraform, and Claude. Proficiency in these technologies is essential.

Basic qualifications and experience:
  • 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.

Preferred qualifications and experience:
  • 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.
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 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 [email protected].

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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