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- Tasks: Join us to develop cutting-edge ML models and lead exciting research projects.
- Company: Autodesk Research is a leader in design technology, shaping a better world through innovation.
- Benefits: Enjoy flexible work options, collaborative culture, and opportunities for professional growth.
- Why this job: Be part of a diverse team tackling real-world challenges in AI and design.
- Qualifications: Master's or PhD in AI/ML-related fields; strong coding skills in Python required.
- Other info: Experience in AEC domains is a plus; publication track record preferred.
The predicted salary is between 36000 - 60000 £ per year.
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)
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 and breakthroughs in AI and ML, especially those relevant to the architecture, engineering, and construction (AEC) sectors. This will not only enhance your knowledge but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AEC industry and attend relevant conferences or webinars. Building connections can provide insights into the specific challenges faced in this field and may even lead to referrals for job opportunities.
✨Tip Number 3
Showcase your coding skills by contributing to open-source projects or creating your own projects that utilise deep learning techniques. 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. Being able to articulate your findings and their implications in the context of AI/ML will highlight your expertise and passion for the field.
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. Emphasise your coding skills in Python and familiarity with frameworks like PyTorch or TensorFlow.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI research and how your background aligns 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 the Architecture, Engineering, and Construction domains. Highlight your contributions and the impact of your work.
Highlight Publications: If you have published papers in machine learning conferences or journals, make sure to include these in your application. This will demonstrate your expertise and commitment to advancing the field of AI research.
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 publications or significant findings, especially those related to AI/ML, as this will demonstrate your expertise and commitment to the field.
✨Demonstrate Technical Proficiency
Make sure you can talk confidently about your experience with Deep Learning techniques and frameworks like PyTorch or TensorFlow. Be ready to explain how you've implemented custom architectures or optimised model performance in past projects.
✨Familiarise Yourself with AEC Industry
Since the role is within the Architecture, Engineering, and Construction domains, brush up on industry-specific data formats and workflows. Understanding BIM models and project documentation will give you an edge during the interview.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving skills. Practice explaining your thought process when tackling complex AI/ML challenges, as this will showcase your analytical abilities and creativity.
