Machine Learning Engineer senior (H/F)

By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.

As a Senior Machine Learning Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features that help our customers imagine, design, and make a better world.

You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with AI researchers to implement generative AI features in Autodesk products.

We are a global team located in London, San Francisco, Vancouver, Toronto, Montreal and remote locations. For this role, we support in-person, hybrid, and remote work arrangements within commuting distance to one of our offices.

Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
Develop, finetune, and optimize foundation models (LLMs, diffusion models, multimodal models) on large-scale datasets for CAD/design applications
Develop new or improve existing ML models used in CAD software
Process data and analyze feature extractions and model behaviors
Design solutions based on error analysis and model performance evaluation
Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
Monitor and improve model performance in production environments

BSc or MSc in Computer Science or related fields

• 3+ years of deep learning model development and deployment in production scenarios
• Proficiency with modern deep learning techniques (e.g. deep learning model architectures, regularization techniques, learning techniques, loss functions, optimization strategies, etc.) Experience with version control, reproducibility, and writing reusable, testable code
• Experience with data modelling, architecture, and processing using varied data representations, including 2D and 3D geometry
• AWS, Azure, GCP)
• Proficiency with foundation models, including LLMs, diffusion models, and multimodal models (e.g., CLIP, BLIP) with pretraining and post-training methods

Experience with distributed training frameworks and techniques (e.g., Experience optimizing inference performance and latency for production systems
Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
Contributions to open-source ML projects or published research in top-tier venues

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.

Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Diversity & Belonging
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