Machine Learning Engineer 3D Geometry/ Multi-Modal
EMEA - United Kingdom - London - Agar St
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingCollaborate on projects at the intersection of research and product with a diverse, global team
Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models
Work with complex datasets and representations for model training, evaluation, and analysis
From the employer’s posting
Responsibilities Collaborate on projects at the intersection of research and product with a diverse, global team Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models
Collaborate on projects at the intersection of research and product with a diverse, global team Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models Work with complex datasets and representations for model training, evaluation, and analysis
Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models Work with complex datasets and representations for model training, evaluation, and analysis Analyze errors and provide solutions to problems
What you’ll bring
All qualificationsCore experience
- 3+ years of machine learning experience
- Experience working in research or experimental environments with evolving requirements
- Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)
- Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
- Experience working with diverse data representations, including 2D and 3D geometry
- Experience with version control, reproducibility, and deploying machine learning models
Preferred experience
- Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
- Experience with cloud services and architectures (e.g.
- Experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation)
- Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Qualification wording
3+ years of machine learning experience
Experience working in research or experimental environments with evolving requirements
Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)
Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
Experience working with diverse data representations, including 2D and 3D geometry
Experience with version control, reproducibility, and deploying machine learning models
Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
Experience with cloud services and architectures (e.g. AWS, Azure)
Experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation)
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Education & alternatives
Preferred Qualifications - Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or related field - Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
Tools in this posting
- AWS
- PyTorch
- Azure
- Huggingface
Source — Tool mentions in context
- Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks) - Experience with cloud services and architectures (e.g. AWS, Azure) - Experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation)
- Experience working in research or experimental environments with evolving requirements - Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace) - Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
About Autodesk
We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
In the employer’s words · Read in context
Job description
Job Requisition ID #
Position Overview
The work we do at Autodesk touches nearly every person on the planet. 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 Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. You are an ML engineer with strong software engineering skills who is passionate about solving problems and building things, and excited to collaborate with AI researchers to implement generative AI features. You will operate in a fast-moving, research-driven environment where problems are often not fully defined, requiring strong problem framing and rapid iteration.
The team work in a hybrid working model from our offices in London.
Responsibilities
Collaborate on projects at the intersection of research and product with a diverse, global team
Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models
Work with complex datasets and representations for model training, evaluation, and analysis
Analyze errors and provide solutions to problems
Present results to collaborators and leadership
Minimum Qualifications
BSc or MSc in Computer Science, or equivalent industry experience
3+ years of machine learning experience
Experience working in research or experimental environments with evolving requirements
Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace)
Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
Experience working with diverse data representations, including 2D and 3D geometry
Experience with version control, reproducibility, and deploying machine learning models
Experience using modern AI/GenAI tools in development or experimentation workflows
Excellent written documentation skills
Preferred Qualifications
Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or related field
Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
Experience with cloud services and architectures (e.g. AWS, Azure)
Experience with LLMs or generative AI systems (fine-tuning, prompting, evaluation)
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
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 – it’s at the core of everything we do. 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. 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, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on autodesk.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
EMEA - United Kingdom - London - Agar St
As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. You are an ML engineer with strong software engineering skills who is passionate about solving problems and building things, and excited to collaborate with AI researchers to implement generative AI features. You will operate in a fast-moving, research-driven environment where problems are often not fully defined, requiring strong problem framing and rapid iteration. The team work in a hybrid working model from our offices in London. Responsibilities
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 11, 2026
- Recorded sightings
- 131
- Last seen by us
- Oct 9, 2026
- Employer says posted
- Jul 27, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.