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AI Research Scientist: AEC. Remote US or Canada
Autodesk
22d ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Vancouver, British Columbia, Canada
Hybrid
Company Size
11,600 Employees
Service Specialisms
Design
Engineering
Construction
Architecture
Consulting
Product Development
Technology Solutions
Software Development
Sector Specialisms
Building Design
Construction
Automotive
Building Product Manufacturing
3D Animation
Architecture
Engineering
Construction Professionals
Role
What you would be doing
ml models
ai techniques
data exploration
literature review
research leadership
- Développer de nouveaux modèles de ML et de nouvelles techniques d'IA
- Explore new data sources and discover techniques for best leveraging data
- Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
- Develop new ML models and AI techniques
- Lead on research projects within a global team
What you bring
ia générative
llms
deep learning
bim models
python coding
géométrie profonde
- IA générative 2D et 3D
- LLM et traitement du langage naturel
- 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)
- 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)
- Familiarity with PyTorch, TensorFlow, JAX or similar frameworks
- LLMs and Natural Language Processing
- Expérience de publication dans des conférences et/ou des revues sur l'apprentissage automatique
- 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)
- Multi-modal deep learning and/or information retrieval
- 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
- Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation)
- Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)
- Apprentissage profond multimodal et/ou recherche d'informations
- 2D & 3D Generative AI
- Strong coding abilities in Python
- Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks)
- Familiarité avec PyTorch, TensorFlow, JAX ou des frameworks similaires
- Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
- Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)
- Examiner la documentation pertinente sur l'IA/ML afin d'identifier les méthodes, les technologies et les meilleures pratiques émergentes
- 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.)
- 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)
- Géométrie informatique et méthodes géométriques (par exemple, analyse des formes, topologie, géométrie différentielle, géométrie discrète, cartographie fonctionnelle, apprentissage profond géométrique, réseaux neuronaux graphiques)
- Solides capacités de codage en Python
- 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)
- Diriger des projets de recherche au sein d'une équipe internationale
- Master ou doctorat dans un domaine lié à l'IA/ML tel que : Informatique, mathématiques, statistiques, physique, linguistique, génie mécanique, architecture ou disciplines connexes
- Publication track record in machine learning conferences and/or journals
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Interview process
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Company
Overview
Founded in 1982
Year of establishment
Marks the beginning of Autodesk's journey in pioneering design software solutions.
- Pioneered software for 2D and 3D design, revolutionizing industries.
- Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows.
- Empowering creators in fields from construction to digital media, enabling more innovative designs.
- Develops tools used in iconic projects, from skyscrapers to blockbuster movies.
- Pushes the boundaries of design technology, leading the way in artificial intelligence and automation.
- Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment.
- Cloud-based solutions streamline design processes and foster real-time collaboration across industries.
- A leader in 3D design software, with solutions powering projects in every corner of the globe.
- Committed to shaping the future of digital design, bringing complex visions to life.
- Innovation: We believe in the power of creativity to push boundaries and change the world.
- Collaboration: We work together to create solutions that make a difference.
- Customer Success: We are focused on delivering products and services that help our customers succeed.
- Sustainability: We are committed to making a positive impact on the planet and communities.
- Integrity: We act with honesty and uphold the highest ethical standards.
- Inclusion: We embrace diverse perspectives and strive for an environment where everyone belongs.
2023
Net-zero commitment
Aiming to achieve net-zero carbon status, a critical step in combating climate change.
35%
Carbon emissions reduction
Significant reduction in overall carbon footprint across all emission scopes since 2019.
- Designing products that help users make more sustainable decisions, including tools for low-carbon building design.
- Aims to advance climate resilience by providing tools to better predict and plan for climate risks.
- Promotes circular design principles and helps customers optimize material use and reduce waste.
30% Female Workforce
Gender Diversity
As of 2023, 30% of the global workforce identifies as female, highlighting progress in gender diversity across the organization.
25% Leadership Representation
Female Leadership
25% of leadership positions are held by women, indicating strides toward gender parity in executive roles.
2025 Diversity Goal
Leadership Commitment
A strategic initiative to boost representation of underrepresented groups in leadership positions by 2025.
12 Employee Groups
Employee Resource Networks
Twelve employee resource groups are supported, fostering inclusion and community for diverse populations including women, LGBTQ+, and veterans.
- Leadership Commitment: Has set a goal to increase representation of underrepresented groups in leadership by 2025.
- Inclusive Hiring: Implements inclusive recruitment practices and strives for diverse candidate slates for all roles.
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