AI Research Scientist – Structured & Spatial Modeling Remote : Canada or United States East Coast

Autodesk; Quebec; Remote; CAD 90,000 - 130,000; Full time

Job summary

A leading technology company is seeking an AI Research Scientist to conduct cutting-edge research influencing design workflows across various industries. The position offers a remote-friendly environment, allowing you to connect meaningfully with colleagues while working on innovative projects. Ideal candidates will have a PhD in AI/ML and a strong background in Deep Learning and related fields.

Qualifications

• PhD in a field related to AI / ML such as Computer Science, Mathematics, Statistics, etc.
• Publications in high-impact ML conferences and journals.
• Strong coding abilities in PyTorch.

Responsibilities

• Develop and lead research on novel ML models for structured generation.
• Review AI / ML literature to identify emerging methods.
• Explore new data sources for leveraging structured representations.

Skills

Deep Learning techniques

Strong coding in PyTorch

Generative models

Spatial reasoning

Education

PhD in AI/ML related field

Job description

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.

You'll be joining a rapidly growing team working on a project that aims to revolutionize the design of nearly every aspect of the built environment. Your contributions will directly influence how designers, architects, and engineers interact with AI tools in the future.

This role is fully remote-friendly. Our team operates primarily remotely with team members distributed across the globe, with offices in London, Boston, Toronto and other locations worldwide. At Autodesk, we embrace remote work while fostering connection through regular team offsites for collaborative planning and relationship building. This balanced approach ensures you can work where you're most productive while maintaining meaningful connections with colleagues.

This role will report to a Manager of Research Science in the AI Lab.

Location : US or Canada Remote or Hybrid

Responsibilities

Develop and lead research on novel ML models for structured generation and multi-modal understanding of complex visual and spatial content

Review relevant AI / ML literature to identify emerging methods in generative models and autoregressive architectures

Explore new data sources and discover techniques for leveraging structured representations in design workflows

Minimum Qualifications

A PhD in a field related to AI / ML such as : Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines

Publications in venues such as NeurIPS, ICLR, GECCO, MLSys, JMLR, ICML, IROS, EMNLP, MICCAI, Medical Image Analysis, IEEE TMI, ICDAR, CVPR or other high impact ML conferences and journals

Strong background applying Deep Learning techniques, particularly generative models and spatial reasoning (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)

Strong coding abilities in PyTorch

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) and structured data representation in AEC workflows

Experience in specialized domains requiring sequential or structured generation of complex spatial annotations, such as medical imaging (autoregressive segmentation, sequential annotation), document layout analysis (technical diagrams, forms, scientific papers), or cartography / GIS (map annotation, symbol placement)

Experience with LLMs and autoregressive models for structured representations such as code generation, molecular / biological discovery, or other domain-specific sequence modeling

Multi-modal deep learning and / or information retrieval experience

Significant post-graduate research experience, or 5 or greater years of work experience (actual job title / position will be commensurate to experience)