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

Autodesk; Montreal; Remote; CAD 215,000 - 255,000; Full time

Job summary

A leading software company in Montreal is seeking an experienced AI/ML researcher to develop innovative machine learning models. You will work remotely with a global team on projects that significantly impact the built environment. The ideal candidate holds a PhD in a related field and has strong experience with deep learning techniques, particularly in generative models. A competitive salary and opportunities for growth are offered.

Qualifications

• Strong background applying Deep Learning techniques, particularly generative models and spatial reasoning.
• Publications in high-impact ML conferences and journals.
• Experience in specialized domains requiring sequential or structured generation of complex spatial annotations.

Responsibilities

• Develop and lead research on novel machine learning models for structured generation and multi-modal understanding of complex content.
• Review relevant AI/ML literature to identify emerging methods.
• Explore new data sources and discover techniques for leveraging structured representations in design workflows.

Skills

Deep Learning techniques

PyTorch

Education

PhD in related field

Job description

Employer Industry: Software Development and Design

Why consider this job opportunity:
- Salary up to $254,100 based on experience and geographic location
- Opportunity for career advancement and growth within the organization
- Fully remote-friendly position with a global team
- Collaborative work environment with regular team offsites for relationship building
- Chance to work on innovative projects that impact the built environment

What to Expect (Job Responsibilities):
- Develop and lead research on novel machine learning 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

What is Required (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 high-impact ML conferences and journals
- Strong background applying Deep Learning techniques, particularly generative models and spatial reasoning
- Strong coding abilities in PyTorch

How to Stand Out (Preferred Qualifications):
- Experience in the Architecture, Engineering, and/or Construction domains
- Experience in specialized domains requiring sequential or structured generation of complex spatial annotations
- Experience with LLMs and autoregressive models for structured representations
- Multi-modal deep learning and/or information retrieval experience
- Significant post-graduate research experience, or 5 or more years of work experience

#SoftwareDevelopment #AIResearch #MachineLearning #RemoteOpportunity #InnovativeProjects

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