locations

Berlin, DEU

Position Overview

As a Principal Machine Learning Engineer in a growing generative AI-focused team at Autodesk, you will play a leading role in the translation of applied research into new capabilities that will help our customers imagine, design, and make a better world.

You are a talented, motivated, and experienced Software Engineer with a strong track record in Generative AI for Computer Vision and/or Computer Graphics, passionate about solving problems and building things. You are excited to collaborate with research, product, and production teams to perform experiments and implement state-of-the-art generative AI algorithms into products at scale. You are comfortable serving as a translator and straddling the gap between research & development.

While the location of this role is flexible, we prefer to have our engineers based near the teams in Berlin, Germany and we are open to candidates who are willing to relocate to Berlin.

Our Berlin office offers a dynamic and innovative working environment, providing an attractive space for creativity and collaboration within the AI unit of Autodesk Construction Solutions (ACX).

Autodesk is a flexible hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.

You will be reporting to a Sr Manager, Machine Learning Engineering.

Responsibilities

• Translate CV/ML/computer graphics research into concept design-oriented products

• Understand and prototype ideas from research papers

• Collaborate on projects with a diverse, global team of researchers and engineers

• Support research productization through the construction of experimental pipelines, prototypes, and reusable code

• Implement scalable machine learning training pipelines

• Process data and analyze feature extractions

• Model training and hyperparameter tuning

• Analyze errors and provide solutions to problems

Minimum Qualifications

• MSc or PhD in Computer Science, or equivalent industry experience

• +3 years of experience with deep learning and generative models

• Experience with version controlling, reproducibility, and deploying machine learning models

• Strong data modelling and data architecture skills

• Experience with cloud services & architectures (AWS, Azure, etc.)

• Proficiency with modern deep learning libraries and frameworks

• Proficiency in coordinating, provisioning, and maintaining systems and compute infrastructure

• Strong problem-solving and troubleshooting skills

• Excellent communication and collaboration abilities

Preferred Qualifications

• Experience with 3D deep learning

• Experience in handling 3D data formats, including mesh analysis and visualization

• Experience with training & optimizing Generative Adversarial Networks (GANs), Denoising Diffusion Models, Neural Radiance Fields (NeRFs), etc

• Experience scaling ML training pipelines

• Experience or interest in computational geometry and geometric methods, multi-modal deep learning and/or information retrieval

• Knowledge of the design, manufacturing, AEC, or media & entertainment industries

• Experience with Autodesk products, including Alias, or similar products (CAD, CAE, CAM, etc.)

• Publications at relevant conferences & journals (e.g., NeurIPS, SIGGRAPH, CVPR, ICCV, ECCV)

The Ideal Candidate

• A Software Engineer with experience building and training robust machine learning systems

• Familiar with implementing experimental pipelines and prototyping AI applications

• Comfortable building prototypes from scratch and writing maintainable code within existing codebases

• A curious, creative problem-solver who is excited to learn & develop new technologies

• A fast learner & excellent communicator who can effectively collaborate across global locations

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