About Us

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Overview

We are seeking a highly motivated Machine Learning Research Intern to join our team. This role focuses on advancing the capabilities of large language models (LLMs), vision-language models (VLMs), and their applications in reasoning tasks.

We offer a dynamic and supportive research environment and the opportunity to work on cutting-edge technologies. If you are passionate about this field and are looking for an exciting opportunity to advance your research career, we encourage you to apply for this position.

As part of this role, you will contribute to the development of algorithms that enhance reasoning in multi-modal AI systems, with a focus on fine-tuning LLMs and VLMs, exploring reasoning frameworks, and utilizing synthetic data for model training.

Responsibilities

• Conduct research and experiments to enhance reasoning capabilities in LLMs and VLMs.
• Develop and fine-tune multi-modal AI models for tasks requiring sophisticated reasoning.
• Explore and implement synthetic data generation techniques to support training pipelines.
• Publish findings in leading machine learning and AI journals and conferences.
• Advocate for cutting-edge AI technologies and contribute to the team's technical strategy.

Minimum Qualifications

• A PhD (or equivalent experience) in machine learning, AI, or a related field.
• A strong publication record in machine learning, reasoning, or multi-modal AI.
• Strong expertise in LLMs, VLMs, and physics.
• Proven experience in fine-tuning large models and working with multi-modal data.
• Proficiency with modern ML frameworks (e.g., PyTorch, JAX) and programming languages such as Python.
• Excellent problem-solving and communication skills.