341 AI Fellow jobs in Canada

**Company Overview**
With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on.
At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all.
Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose - a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose - people -then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you.
**About the Role:**
We are searching for an exceptionally skilled and visionary Fellow AI Architect with deep expertise in building, deploying, and scaling generative AI applications. As a key individual contributor at the Technical Fellow level, you will drive the architecture, strategy, and development of groundbreaking AI technologies that support our long-term mission.
The Fellow AI Architect will lead the technical vision, strategy, and architectural direction for our GenAI initiatives. As a recognized thought leader, you will help guide the company to stay at the forefront of AI innovation, continuously integrating the latest advancements in generative AI into our products and processes. This role demands a blend of technical depth, visionary thinking, and the ability to influence and elevate company-wide AI practices. You will play a pivotal role in shaping a transformative journey, empowering our organization to harness GenAI in profound ways across all products.
**Responsibilities** :
- Architectural Vision & Strategy: Define and drive the generative AI architecture strategy, ensuring UKG remains at the leading edge of AI innovation. Develop and communicate a cohesive architectural vision that aligns with business goals, enabling the seamless integration of GenAI capabilities across our product suite.
- Technical Leadership: Serve as the primary technical visionary for generative AI, providing hands-on guidance in advanced methods (e.g., transformer models, diffusion models, GANs) and setting technical standards that ensure scalability, security, and efficiency.
- Cross-Functional Collaboration: Work closely with executive leadership, product management, data science, and engineering teams to establish and prioritize GenAI initiatives. Collaborate with cross-functional teams to ensure alignment on requirements and objectives, driving the infusion of AI capabilities across products.
- Innovation & Research: Conduct hands-on, advanced research in generative AI, staying current with emerging technologies, industry trends, and best practices. Lead the exploration and implementation of state-of-the-art GenAI techniques to enhance product value and drive a competitive edge.
- Mentorship & Culture Building: Mentor and influence senior engineering leaders, fostering a culture of AI excellence, thought leadership, and continuous innovation. Champion best practices in AI/ML development, CI/CD processes, and quality assurance to ensure high standards across the organization.
- Community Engagement: Act as an ambassador for generative AI internally and externally, representing UKG in the AI community through publications, speaking engagements, and industry forums.
- Scalable Solutions: Oversee the deployment of large-scale AI models, ensuring they are optimized for performance, cost, and resource efficiency in production environments. Establish guidelines for high-quality, production-ready AI/ML systems that can scale with business needs.
- Governance & Standards: Define and enforce development methodologies, CI/CD standards, and architectural guidelines for AI solutions. Maintain documentation of architectural decisions and technical roadmaps, ensuring a sustainable foundation for future AI-driven capabilities.
**Qualifications** :
- Educational Background: PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience.
- Experience: 12+ years in software development and AI, with at least 5 years of hands-on experience in generative AI, NLP, or related fields. Proven expertise in architecting and deploying large-scale AI/ML systems in production environments.
- Technical Proficiency: Expert-level skills in programming languages (e.g., Python, Java) and AI frameworks (e.g., TensorFlow, PyTorch). Strong understanding of cloud platforms (AWS, Google Cloud, Azure) and MLOps practices for large-scale model training and deployment.
- AI Methodologies: In-depth knowledge of generative AI methodologies, including transformer models, diffusion models, GANs, large language models, and multi-modal architectures. Familiarity with NLP and machine learning algorithms, such as linear and logistic regression, decision trees, and clustering methods.
- Industry Influence: Recognized thought leader in AI, with a record of publications in top-tier AI conferences/journals (e.g., NeurIPS, ICML, CVPR) and a strong network within the AI research community.
- Problem-Solving & Strategy: Exceptional problem-solving skills and a proven ability to influence and implement long-term AI-driven strategic initiatives.
**Preferred Qualifications:**
- Compliance & Responsible AI: Experience working in high-compliance environments or with privacy-preserving AI techniques. Strong familiarity with trends in responsible AI, model interpretability, and ethical AI practices.
- Optimization Expertise: Proven record of optimizing AI models for cost-efficiency at scale through model compression, distillation, and efficient deployment strategies.
- Cloud & DevOps Knowledge: Strong experience with cloud-native architectures, containerization (e.g., Kubernetes), and CI/CD pipeline automation (e.g., Terraform, GitHub Actions).
**Where we're going**
UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow!
Equal Opportunity Employer   
Ultimate Kronos Group is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.   
View The EEO Know Your Rights poster (    
UKG participates in E-Verify. View the E-Verify posters here ( .  
Disability Accommodation
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email . 
The pay range for this position is $207,400 to $298,100, however, base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a short-term incentive and a long-term incentive as part of total compensation. Information about UKG's comprehensive benefits can be reviewed on our careers site at   
NOTICE ON HIRING SCAMS
UKG will never ask you for a copy of your driver's license, social security card, or passport during a job interview. For new hires, we do not ask for payment for equipment purchase, cost for training, or to receive onboarding documents. UKG does not make job offers outside of our formal hiring process. To help protect yourself against potential hiring scams, learn more about our formal hiring process, outlined here ( .
ABOUT OUR JOB DESCRIPTIONS
All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change.
It is the policy of Ultimate Software to promote and assure equal employment opportunity for all current and prospective Peeps without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. This policy governs all matters related to recruitment, advertising, and initial selection of employment. It shall also apply to all other aspects of employment, including, but not limited to, compensation, promotion, demotion, transfer, lay-offs, terminations, leave of absence, and training opportunities.

Job Description

Job Description

MindBridge is the global leader in AI-powered financial risk intelligence. Our platform, MindBridge AI™ is enabling finance and audit professionals to build the AI-powered finance department of the future. With over 120 billion financial transactions analyzed with MindBridge’s AI, we set the standard for innovation, scalability, and customer satisfaction.

At MindBridge, we're driven by innovation and excellence, united as a team to revolutionize financial integrity. Here, your ideas matter, and your efforts make a meaningful impact. If you're passionate about using AI to drive positive change, MindBridge is the perfect fit. What distinguishes us is our unwavering commitment to our values: Innovation, Collaboration, and Integrity. These principles foster a vibrant workplace culture, where appreciation and a strong sense of community flourish.

About the Role:

Data science is at the core of our product, and our team tackles projects ranging from large-scale algorithm design to customer use-case configuration. At MindBridge, we specialize in highly regulated markets, delivering explainable, interpretable models for financial analysis. As signatories of the Montreal Declaration for responsible AI, we are committed to advancing AI in finance while keeping it accessible to professionals beyond the tech sphere.

We’re seeking an AI Research Scientist to join our centralized Data Science team. In this individual contributor role, you’ll combine research and hands-on experimentation to design, develop, and validate advanced machine learning solutions. You’ll collaborate with our AI Architect and data scientists to drive innovation in deep learning, natural language processing, and GPU-accelerated computing—helping shape our technical direction and deliver high-impact solutions for clients.

Key Responsibilities:

Research & Innovation

• Investigate and design novel algorithms in machine learning and AI, with emphasis on deep learning architectures, transformers, and generative models.

• Leverage GPU acceleration frameworks (e.g., RAPIDS, CUDA, PyTorch, TensorFlow) to optimize large-scale experimentation.

• Stay ahead of the curve in AI by evaluating and adapting the latest advances into our work.

Applied Development

• Build prototypes that demonstrate research ideas in action, enabling rapid iteration and validation.

• Collaborate with client delivery teams to adapt research outputs to real-world challenges.

• Ensure scalability and efficiency of models through GPU-accelerated workflows.

Collaboration & Thought Leadership

• Work closely with our Data Science Leaders to define and execute the long-term research agenda.

• Mentor data scientists in advanced techniques and help raise the team’s technical bar.

• Share findings internally (and externally, where appropriate) through presentations, blogs, or publications.

Requirements

Desired Skills & Experience:

• PhD in Computer Science, Statistics, Mathematics, or related field with a strong AI/ML focus.
• Deep knowledge of machine learning, deep learning, and optimization methods.
• Experience with transformer-based models (e.g., BERT, GPT, LLaMA) and generative AI.
• Strong hands-on skills with GPU computing frameworks (RAPIDS, CUDA, PyTorch, TensorFlow, JAX).
• Applied Research Skills: Ability to design experiments, analyze results rigorously, and translate findings into practical prototypes.
• Strong ability to convey complex research concepts to diverse audiences, both technical and non-technical.
• Publications in leading AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ACL), an asset.
• Experience with large-scale distributed training and model optimization, an asset.
• Exposure to client-facing or product-driven environments, applying research in practical contexts, an asset.

Requirements contingent on employment:

• Fulfill requirements necessary to obtain full background check.

Benefits

Why You’ll Love Being Part of Our Team: 

**Job Requisition ID #**
25WD92007
**AI Research Scientist/Engineer (** **_Multimodal_** **)**
**Position Overview**
As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Research Manager in the AI Lab.
**Location** : UK/EMEA, US or Canada Remote or Hybrid
**Responsibilities**
+ Develop new ML models and AI techniques
+ Lead on research projects within a global team
+ Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
+ Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
+ A Master's or _PhD_ in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines
+ Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing _model_ performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions)
+ Familiarity in statistical methods for _Machine Learning_ (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
+ Familiarity with _PyTorch_ , _PyTorch_ Lightning, or similar frameworks
+ Strong coding abilities in Python
+ Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms
+ Experience with Transformers, LLMs, _NLP_ , _Multi-modal_ Deep Learning, and VLMs/MLLMs
+ Publication track record in _machine learning_ conferences and/or journals
**Preferred Qualifications**
+ Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience)
+ Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/ _3D_ generation/understanding
+ Experience or familiarity with the _3D_ Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction domain
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20% %3E) .**

**Job Requisition ID #**
25WD92007
**AI Research Scientist/Engineer (** **_Multimodal_** **)**
**Position Overview**
As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Research Manager in the AI Lab.
**Location** : UK/EMEA, US or Canada Remote or Hybrid
**Responsibilities**
+ Develop new ML models and AI techniques
+ Lead on research projects within a global team
+ Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
+ Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
+ A Master's or _PhD_ in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines
+ Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing _model_ performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions)
+ Familiarity in statistical methods for _Machine Learning_ (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
+ Familiarity with _PyTorch_ , _PyTorch_ Lightning, or similar frameworks
+ Strong coding abilities in Python
+ Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms
+ Experience with Transformers, LLMs, _NLP_ , _Multi-modal_ Deep Learning, and VLMs/MLLMs
+ Publication track record in _machine learning_ conferences and/or journals
**Preferred Qualifications**
+ Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience)
+ Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/ _3D_ generation/understanding
+ Experience or familiarity with the _3D_ Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction domain
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20% %3E) .**

**Job Requisition ID #**
25WD85985
_French job description to follow!/La description de poste en français se trouve plus bas!_
**Position Overview**
As an Applied AI Research Scientist at Autodesk Research, you will be doing applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Manager of Research Science in the AI Lab.
**Responsibilities**
+ Develop new ML models and AI techniques
+ Lead on research projects within a global team
+ Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
+ Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
+ A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines
+ Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)
+ Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
+ Familiarity with PyTorch, TensorFlow, JAX or similar frameworks
+ Strong coding abilities in Python
**Preferred Qualifications**
+ Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM models, IFC files, AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings)
+ Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation)
+ 2D & 3D Generative AI
+ LLMs and Natural Language Processing
+ Multi-modal deep learning and/or information retrieval
+ Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks)
+ Publication track record in machine learning conferences and/or journals
+ Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)
---
**Description du poste**
En tant que chercheur en IA appliquée chez Autodesk Research, vous ferez de la recherche appliquée qui aidera nos clients à imaginer, concevoir et fabriquer un monde meilleur.
Nous sommes une équipe de scientifiques, de chercheurs, d'ingénieurs et de concepteurs qui travaillent ensemble sur des projets allant des systèmes de conception basés sur l'apprentissage, à la vision par ordinateur, au graphisme, à la robotique, à l'interaction homme-machine, au développement durable, à la simulation, à la fabrication, à la conception architecturale et à la construction.
Ce poste est placé sous l'autorité d'un responsable de la recherche scientifique au sein du laboratoire d'intelligence artificielle.
**Responsabilités**
+ Développer de nouveaux modèles de ML et de nouvelles techniques d'IA
+ Diriger des projets de recherche au sein d'une équipe internationale
+ Examiner la documentation pertinente sur l'IA/ML afin d'identifier les méthodes, les technologies et les meilleures pratiques émergentes
+ Explorer de nouvelles sources de données et découvrir des techniques permettant d'exploiter au mieux les données
**Qualifications minimales**
+ Master ou doctorat dans un domaine lié à l'IA/ML tel que : Informatique, mathématiques, statistiques, physique, linguistique, génie mécanique, architecture ou disciplines connexes
+ Solide expérience dans l'application des techniques de Deep Learning (y compris la mise en œuvre d'architectures personnalisées, l'optimisation des performances des modèles, le développement de nouvelles fonctions de perte et le déploiement de solutions prêtes à la production)
+ Familiarité avec les méthodes statistiques pour l'apprentissage automatique (par exemple, méthodes bayésiennes, HMM, modèles graphiques, réduction de la dimension, clustering, classification, techniques de régression, etc.)
+ Familiarité avec PyTorch, TensorFlow, JAX ou des frameworks similaires
+ Solides capacités de codage en Python
**Qualifications préférées**
+ Expérience dans les domaines de l'architecture, de l'ingénierie et/ou de la construction, y compris l'expertise avec les formats de données spécifiques à l'industrie (par exemple, les modèles BIM, les fichiers IFC, les documents contractuels AEC et les dessins tels que les jeux de dessins, les spécifications ou les dessins d'atelier)
+ Connaissance de la représentation et de la gestion des données structurées dans les flux de travail AEC (modélisation des données du bâtiment, spécifications structurelles, documentation du projet)
+ IA générative 2D et 3D
+ LLM et traitement du langage naturel
+ Apprentissage profond multimodal et/ou recherche d'informations
+ Géométrie informatique et méthodes géométriques (par exemple, analyse des formes, topologie, géométrie différentielle, géométrie discrète, cartographie fonctionnelle, apprentissage profond géométrique, réseaux neuronaux graphiques)
+ Expérience de publication dans des conférences et/ou des revues sur l'apprentissage automatique
+ Expérience significative en matière de recherche post-universitaire, ou 5 années ou plus d'expérience professionnelle (le titre du poste sera proportionnel à l'expérience)
#LIREMOTE
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20% %3E) .**

**Job Requisition ID #**
25WD85985
_French job description to follow!/La description de poste en français se trouve plus bas!_
**Position Overview**
As an Applied AI Research Scientist at Autodesk Research, you will be doing applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Manager of Research Science in the AI Lab.
**Responsibilities**
+ Develop new ML models and AI techniques
+ Lead on research projects within a global team
+ Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
+ Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
+ A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines
+ Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)
+ Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
+ Familiarity with PyTorch, TensorFlow, JAX or similar frameworks
+ Strong coding abilities in Python
**Preferred Qualifications**
+ Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM models, IFC files, AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings)
+ Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation)
+ 2D & 3D Generative AI
+ LLMs and Natural Language Processing
+ Multi-modal deep learning and/or information retrieval
+ Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks)
+ Publication track record in machine learning conferences and/or journals
+ Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)
---
**Description du poste**
En tant que chercheur en IA appliquée chez Autodesk Research, vous ferez de la recherche appliquée qui aidera nos clients à imaginer, concevoir et fabriquer un monde meilleur.
Nous sommes une équipe de scientifiques, de chercheurs, d'ingénieurs et de concepteurs qui travaillent ensemble sur des projets allant des systèmes de conception basés sur l'apprentissage, à la vision par ordinateur, au graphisme, à la robotique, à l'interaction homme-machine, au développement durable, à la simulation, à la fabrication, à la conception architecturale et à la construction.
Ce poste est placé sous l'autorité d'un responsable de la recherche scientifique au sein du laboratoire d'intelligence artificielle.
**Responsabilités**
+ Développer de nouveaux modèles de ML et de nouvelles techniques d'IA
+ Diriger des projets de recherche au sein d'une équipe internationale
+ Examiner la documentation pertinente sur l'IA/ML afin d'identifier les méthodes, les technologies et les meilleures pratiques émergentes
+ Explorer de nouvelles sources de données et découvrir des techniques permettant d'exploiter au mieux les données
**Qualifications minimales**
+ Master ou doctorat dans un domaine lié à l'IA/ML tel que : Informatique, mathématiques, statistiques, physique, linguistique, génie mécanique, architecture ou disciplines connexes
+ Solide expérience dans l'application des techniques de Deep Learning (y compris la mise en œuvre d'architectures personnalisées, l'optimisation des performances des modèles, le développement de nouvelles fonctions de perte et le déploiement de solutions prêtes à la production)
+ Familiarité avec les méthodes statistiques pour l'apprentissage automatique (par exemple, méthodes bayésiennes, HMM, modèles graphiques, réduction de la dimension, clustering, classification, techniques de régression, etc.)
+ Familiarité avec PyTorch, TensorFlow, JAX ou des frameworks similaires
+ Solides capacités de codage en Python
**Qualifications préférées**
+ Expérience dans les domaines de l'architecture, de l'ingénierie et/ou de la construction, y compris l'expertise avec les formats de données spécifiques à l'industrie (par exemple, les modèles BIM, les fichiers IFC, les documents contractuels AEC et les dessins tels que les jeux de dessins, les spécifications ou les dessins d'atelier)
+ Connaissance de la représentation et de la gestion des données structurées dans les flux de travail AEC (modélisation des données du bâtiment, spécifications structurelles, documentation du projet)
+ IA générative 2D et 3D
+ LLM et traitement du langage naturel
+ Apprentissage profond multimodal et/ou recherche d'informations
+ Géométrie informatique et méthodes géométriques (par exemple, analyse des formes, topologie, géométrie différentielle, géométrie discrète, cartographie fonctionnelle, apprentissage profond géométrique, réseaux neuronaux graphiques)
+ Expérience de publication dans des conférences et/ou des revues sur l'apprentissage automatique
+ Expérience significative en matière de recherche post-universitaire, ou 5 années ou plus d'expérience professionnelle (le titre du poste sera proportionnel à l'expérience)
#LIREMOTE
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20% %3E) .**

**Job Requisition ID #**
25WD85985
_French job description to follow!/La description de poste en français se trouve plus bas!_
**Position Overview**
As an Applied AI Research Scientist at Autodesk Research, you will be doing applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Manager of Research Science in the AI Lab.
**Responsibilities**
+ Develop new ML models and AI techniques
+ Lead on research projects within a global team
+ Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
+ Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
+ A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines
+ Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)
+ Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
+ Familiarity with PyTorch, TensorFlow, JAX or similar frameworks
+ Strong coding abilities in Python
**Preferred Qualifications**
+ Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM models, IFC files, AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings)
+ Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation)
+ 2D & 3D Generative AI
+ LLMs and Natural Language Processing
+ Multi-modal deep learning and/or information retrieval
+ Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks)
+ Publication track record in machine learning conferences and/or journals
+ Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)
---
**Description du poste**
En tant que chercheur en IA appliquée chez Autodesk Research, vous ferez de la recherche appliquée qui aidera nos clients à imaginer, concevoir et fabriquer un monde meilleur.
Nous sommes une équipe de scientifiques, de chercheurs, d'ingénieurs et de concepteurs qui travaillent ensemble sur des projets allant des systèmes de conception basés sur l'apprentissage, à la vision par ordinateur, au graphisme, à la robotique, à l'interaction homme-machine, au développement durable, à la simulation, à la fabrication, à la conception architecturale et à la construction.
Ce poste est placé sous l'autorité d'un responsable de la recherche scientifique au sein du laboratoire d'intelligence artificielle.
**Responsabilités**
+ Développer de nouveaux modèles de ML et de nouvelles techniques d'IA
+ Diriger des projets de recherche au sein d'une équipe internationale
+ Examiner la documentation pertinente sur l'IA/ML afin d'identifier les méthodes, les technologies et les meilleures pratiques émergentes
+ Explorer de nouvelles sources de données et découvrir des techniques permettant d'exploiter au mieux les données
**Qualifications minimales**
+ Master ou doctorat dans un domaine lié à l'IA/ML tel que : Informatique, mathématiques, statistiques, physique, linguistique, génie mécanique, architecture ou disciplines connexes
+ Solide expérience dans l'application des techniques de Deep Learning (y compris la mise en œuvre d'architectures personnalisées, l'optimisation des performances des modèles, le développement de nouvelles fonctions de perte et le déploiement de solutions prêtes à la production)
+ Familiarité avec les méthodes statistiques pour l'apprentissage automatique (par exemple, méthodes bayésiennes, HMM, modèles graphiques, réduction de la dimension, clustering, classification, techniques de régression, etc.)
+ Familiarité avec PyTorch, TensorFlow, JAX ou des frameworks similaires
+ Solides capacités de codage en Python
**Qualifications préférées**
+ Expérience dans les domaines de l'architecture, de l'ingénierie et/ou de la construction, y compris l'expertise avec les formats de données spécifiques à l'industrie (par exemple, les modèles BIM, les fichiers IFC, les documents contractuels AEC et les dessins tels que les jeux de dessins, les spécifications ou les dessins d'atelier)
+ Connaissance de la représentation et de la gestion des données structurées dans les flux de travail AEC (modélisation des données du bâtiment, spécifications structurelles, documentation du projet)
+ IA générative 2D et 3D
+ LLM et traitement du langage naturel
+ Apprentissage profond multimodal et/ou recherche d'informations
+ Géométrie informatique et méthodes géométriques (par exemple, analyse des formes, topologie, géométrie différentielle, géométrie discrète, cartographie fonctionnelle, apprentissage profond géométrique, réseaux neuronaux graphiques)
+ Expérience de publication dans des conférences et/ou des revues sur l'apprentissage automatique
+ Expérience significative en matière de recherche post-universitaire, ou 5 années ou plus d'expérience professionnelle (le titre du poste sera proportionnel à l'expérience)
#LIREMOTE
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20% %3E) .**

**Job Requisition ID #**
25WD85985
_French job description to follow!/La description de poste en français se trouve plus bas!_
**Position Overview**
As an Applied AI Research Scientist at Autodesk Research, you will be doing applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Manager of Research Science in the AI Lab.
**Responsibilities**
+ Develop new ML models and AI techniques
+ Lead on research projects within a global team
+ Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
+ Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
+ A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines
+ Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)
+ Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
+ Familiarity with PyTorch, TensorFlow, JAX or similar frameworks
+ Strong coding abilities in Python
**Preferred Qualifications**
+ Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM models, IFC files, AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings)
+ Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation)
+ 2D & 3D Generative AI
+ LLMs and Natural Language Processing
+ Multi-modal deep learning and/or information retrieval
+ Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks)
+ Publication track record in machine learning conferences and/or journals
+ Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)
---
**Description du poste**
En tant que chercheur en IA appliquée chez Autodesk Research, vous ferez de la recherche appliquée qui aidera nos clients à imaginer, concevoir et fabriquer un monde meilleur.
Nous sommes une équipe de scientifiques, de chercheurs, d'ingénieurs et de concepteurs qui travaillent ensemble sur des projets allant des systèmes de conception basés sur l'apprentissage, à la vision par ordinateur, au graphisme, à la robotique, à l'interaction homme-machine, au développement durable, à la simulation, à la fabrication, à la conception architecturale et à la construction.
Ce poste est placé sous l'autorité d'un responsable de la recherche scientifique au sein du laboratoire d'intelligence artificielle.
**Responsabilités**
+ Développer de nouveaux modèles de ML et de nouvelles techniques d'IA
+ Diriger des projets de recherche au sein d'une équipe internationale
+ Examiner la documentation pertinente sur l'IA/ML afin d'identifier les méthodes, les technologies et les meilleures pratiques émergentes
+ Explorer de nouvelles sources de données et découvrir des techniques permettant d'exploiter au mieux les données
**Qualifications minimales**
+ Master ou doctorat dans un domaine lié à l'IA/ML tel que : Informatique, mathématiques, statistiques, physique, linguistique, génie mécanique, architecture ou disciplines connexes
+ Solide expérience dans l'application des techniques de Deep Learning (y compris la mise en œuvre d'architectures personnalisées, l'optimisation des performances des modèles, le développement de nouvelles fonctions de perte et le déploiement de solutions prêtes à la production)
+ Familiarité avec les méthodes statistiques pour l'apprentissage automatique (par exemple, méthodes bayésiennes, HMM, modèles graphiques, réduction de la dimension, clustering, classification, techniques de régression, etc.)
+ Familiarité avec PyTorch, TensorFlow, JAX ou des frameworks similaires
+ Solides capacités de codage en Python
**Qualifications préférées**
+ Expérience dans les domaines de l'architecture, de l'ingénierie et/ou de la construction, y compris l'expertise avec les formats de données spécifiques à l'industrie (par exemple, les modèles BIM, les fichiers IFC, les documents contractuels AEC et les dessins tels que les jeux de dessins, les spécifications ou les dessins d'atelier)
+ Connaissance de la représentation et de la gestion des données structurées dans les flux de travail AEC (modélisation des données du bâtiment, spécifications structurelles, documentation du projet)
+ IA générative 2D et 3D
+ LLM et traitement du langage naturel
+ Apprentissage profond multimodal et/ou recherche d'informations
+ Géométrie informatique et méthodes géométriques (par exemple, analyse des formes, topologie, géométrie différentielle, géométrie discrète, cartographie fonctionnelle, apprentissage profond géométrique, réseaux neuronaux graphiques)
+ Expérience de publication dans des conférences et/ou des revues sur l'apprentissage automatique
+ Expérience significative en matière de recherche post-universitaire, ou 5 années ou plus d'expérience professionnelle (le titre du poste sera proportionnel à l'expérience)
#LIREMOTE
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20% %3E) .**