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For Companies At a Glance
- Tasks: Conduct cutting-edge AI research to enhance design and construction processes.
- Company: Join Autodesk Research, a leader in innovative design technology.
- Benefits: Enjoy flexible work options, collaborative culture, and opportunities for professional growth.
- Why this job: Make a real impact in the AEC industry while working with top-tier professionals.
- Qualifications: Master's or PhD in AI/ML-related fields; strong coding skills in Python required.
- Other info: Ideal for those passionate about AI and its applications in architecture and engineering.
The predicted salary is between 36000 - 60000 £ per year.
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)
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AI Research Scientist (AEC) employer: Autodesk, Inc.
Contact Detail:
Autodesk, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Scientist (AEC)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and ML, especially those relevant to the Architecture, Engineering, and Construction (AEC) sectors. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals already working in AI research within the AEC domain. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about their experiences and insights.
✨Tip Number 3
Showcase your coding skills by contributing to open-source projects or creating your own projects that utilise frameworks like PyTorch or TensorFlow. This practical experience can set you apart from other candidates and demonstrate your hands-on abilities.
✨Tip Number 4
Prepare to discuss your research experience and any publications you've contributed to in detail. Be ready to explain your methodologies and findings, as this will highlight your expertise and passion for the field during the interview process.
We think you need these skills to ace AI Research Scientist (AEC)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI/ML, particularly any projects involving deep learning techniques or coding in Python. Emphasise your educational background and any publications in machine learning.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI research and how your skills align with Autodesk's mission. Mention specific projects or experiences that demonstrate your ability to lead research initiatives and collaborate within a global team.
Showcase Relevant Projects: Include a section in your application that showcases any relevant projects you've worked on, especially those related to architecture, engineering, or construction. Highlight your familiarity with industry-specific data formats and tools.
Highlight Continuous Learning: Mention any recent courses, workshops, or conferences you’ve attended that relate to AI/ML. This shows your commitment to staying updated with emerging methods and technologies in the field.
How to prepare for a job interview at Autodesk, Inc.
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight any specific ML models or AI techniques you've developed, and explain the impact of your work. This will demonstrate your hands-on experience and understanding of the field.
✨Familiarise Yourself with Industry-Specific Data
Since the role involves working with AEC data formats, make sure you understand BIM models and other relevant documentation. Being able to discuss how you would leverage these data sources in your research will set you apart from other candidates.
✨Demonstrate Your Coding Skills
Expect to be asked about your coding abilities, particularly in Python. Be ready to discuss your experience with frameworks like PyTorch or TensorFlow, and consider preparing a small coding exercise to showcase your skills during the interview.
✨Stay Updated on AI/ML Trends
Research the latest trends and emerging methods in AI and ML. Being knowledgeable about recent advancements will not only impress your interviewers but also show your passion for continuous learning in this rapidly evolving field.
