AI Research Scientist (AEC)

Merantix; London; On-site; GBP 50,000 - 100,000; Full time

Job summary

An innovative firm is seeking an AI Research Scientist to engage in cutting-edge research that shapes the future of design and manufacturing. This role involves developing advanced machine learning models and techniques while collaborating with a diverse team of experts across various domains. You will explore new data sources and methods to enhance AI applications, contributing to projects that drive sustainability and efficiency in architectural design and construction. If you are passionate about leveraging AI to create impactful solutions and have a strong foundation in deep learning and statistical methods, this opportunity is perfect for you.

Qualifications

• Master's or PhD in Computer Science, Mathematics, or related fields.
• Strong background in Deep Learning and statistical methods.

Responsibilities

• Develop new ML models and AI techniques.
• Lead research projects within a global team.

Skills

Deep Learning

Machine Learning

Python

Statistical Methods

Natural Language Processing

Education

Master's or PhD in AI/ML related field

Tools

PyTorch

TensorFlow

JAX

Job description

Job Requisition ID # 25WD85591

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 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)
• LLMs and Natural Language Processing
• Multi-modal deep learning and/or information retrieval
• 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)