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- Tasks: Explore AI reasoning and develop innovative algorithms for architecture, engineering, and construction.
- Company: Join Autodesk's vibrant AI Lab, where creativity meets technology.
- Benefits: Gain hands-on experience, collaborate with experts, and contribute to impactful research.
- Why this job: Shape the future of design with cutting-edge AI in a supportive environment.
- Qualifications: Pursuing an MS or PhD in relevant fields with strong programming skills.
- Other info: Be part of a culture that values diversity and belonging.
The predicted salary is between 500 - 1500 ÂŁ per month.
As an Intern in Autodesk Research's AI Lab, you will explore how large language models (LLMs) and intelligent multi-agent systems can enable advanced reasoning in architecture, engineering, and construction (AEC). You’ll help design AI systems that reason over complex, multimodal design problems — integrating spatial, quantitative, textual, and procedural knowledge — to make the built world smarter, safer, and more sustainable. Our team combines expertise in machine learning, computational design, simulation, and AEC workflows. This project focuses on developing methods for structured reasoning and collaboration among AI agents, inspired by how human experts coordinate across design, engineering, and planning tasks. The goal is to advance AI systems that can analyze, critique, and generate design alternatives grounded in real-world AEC contexts.
Responsibilities:
- Develop and execute a research agenda focused on advancing AI reasoning and multimodal learning in architecture, engineering, and construction (AEC).
- Create and refine cutting-edge algorithms, drawing from multiple approaches in artificial intelligence.
- Collaborate with researchers and engineers across diverse disciplines, including communicating research plans, progress, and results.
- Explore methods for structured reasoning and collaborative problem-solving among intelligent systems.
- Shape the future of Autodesk’s architecture, engineering, and construction products through published research and practical applications.
Minimum Qualifications:
- Full‑time student pursuing an MS or PhD (preferred) in Computer Science, Artificial Intelligence, Computational Design, Applied Mathematics, or a related field.
- Broad understanding of machine learning, deep learning, and reasoning systems.
- Strong programming skills in Python, with proficiency in PyTorch or TensorFlow.
- Demonstrated experience in conducting, analyzing, and communicating research.
- Excellent written and verbal communication skills, and ability to collaborate in cross‑disciplinary teams.
Preferred Qualifications:
- Expertise in an area such as natural language processing, computer vision, 2D/3D geometry representation learning, reinforcement learning, graph neural networks, unsupervised/self‑supervised learning, meta‑learning, and/or generative models.
- Strong command of modern AI, including foundation models or multimodal models.
- Distinguished research achievements, such as intellectual property filings, awards, and leading authorship in top‑tier venues (including but not limited to major ML/AI conferences, workshops, and journals).
- Demonstrated programming experience through professional roles, internships, hackathons, or contributions to open‑source repositories (e.g., GitHub).
- Experience wrangling large, complex, high‑dimensional data for large‑scale training.
- Proven ability to tackle complex challenges independently.
- Passion for bridging AI reasoning with real‑world AEC design and simulation workflows.
Intern, AI Research employer: Merantix
Contact Detail:
Merantix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intern, AI Research
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Autodesk, especially those in the AI Lab. A quick chat can give us insider info on what they look for and how to stand out.
✨Tip Number 2
Show off your skills! If you’ve worked on any cool projects related to AI or AEC, make sure to discuss them in interviews. We want to see your passion and expertise shine through!
✨Tip Number 3
Prepare for technical questions! Brush up on your Python and machine learning concepts. We might throw some challenging scenarios your way, so practice explaining your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining the Autodesk family!
We think you need these skills to ace Intern, AI Research
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills, especially in Python and any experience with PyTorch or TensorFlow. We want to see how you can apply your knowledge in AI and machine learning to real-world problems.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that align with the role. We love seeing how your background fits into our mission at Autodesk.
Communicate Clearly: Your written communication skills are key! Be clear and concise in your application. We appreciate candidates who can articulate their research plans and results effectively, so show us what you've got!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Merantix
✨Know Your AI Stuff
Make sure you brush up on your knowledge of machine learning, deep learning, and reasoning systems. Be ready to discuss your understanding of large language models and how they can be applied in architecture, engineering, and construction. This will show that you're not just a student but someone who’s genuinely interested in the field.
✨Show Off Your Coding Skills
Since strong programming skills in Python are a must, be prepared to talk about your experience with PyTorch or TensorFlow. You might even want to bring along some code samples or projects you've worked on to demonstrate your abilities. This will help you stand out as a candidate who can hit the ground running.
✨Communicate Like a Pro
Excellent written and verbal communication skills are key for this role. Practice explaining complex concepts in simple terms, as you’ll need to collaborate with researchers from various disciplines. Being able to convey your research plans and results clearly will make a great impression.
✨Be Ready to Collaborate
This internship is all about teamwork, so think of examples where you've successfully collaborated on projects. Whether it was during your studies or in previous internships, having stories ready about how you worked with others to solve problems will show that you’re a team player who can thrive in a cross-disciplinary environment.