Senior Machine Learning Engineer

s 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

#AC-1

Learn More

About Autodesk
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!

Salary transparency
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://https://www.autodesk.com/company/diversity-and-belonging

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