You translate research into practical designs, collaborate with a diverse team, and develop scalable machine learning solutions while addressing challenges through analysis and prototyping.
Anforderungen
- •MSc or PhD in Computer Science
- •3+ years of experience with deep learning
- •Experience with version control and ML deployment
- •Strong data modelling skills
- •Experience with cloud services (AWS, Azure)
- •Proficiency with deep learning libraries
- •Proficiency in maintaining compute infrastructure
- •Strong problem-solving skills
- •Excellent communication abilities
- •Experience with 3D deep learning
- •Experience with 3D data formats
- •Experience with training Generative Adversarial Networks
- •Experience scaling ML training pipelines
- •Interest in computational geometry
- •Knowledge of design and media industries
- •Experience with Autodesk products
- •Publications at relevant conferences
Deine Aufgaben
- •Translate research into design-oriented products
- •Prototype ideas from research papers
- •Collaborate with a global team of researchers
- •Support productization through experimental pipelines
- •Construct prototypes and reusable code
- •Implement scalable machine learning training pipelines
- •Process data and analyze feature extractions
- •Train models and tune hyperparameters
- •Analyze errors and propose solutions
Original Beschreibung
# Senior Machine Learning Engineer
**Berlin, DEU** | **Full time**
**Job Requisition ID #**
25WD86998
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.
**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