Senior Machine Learning Engineer (3D Graphics)

Senior Machine Learning Engineer (3D Graphics) 

Position Overview

As a 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 close to the teams in Berlin, Germany. 

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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