Machine Learning Engineer 3D Geometry/ Multi-Modal

Merantix; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Merantix is looking for a Machine Learning Engineer based in Greater London to collaborate on innovative projects in a hybrid working model. The role involves building ML pipelines and working alongside top researchers. Candidates should possess a BSc or MSc in Computer Science and have at least 3 years of relevant experience in machine learning, cloud services, and deep learning frameworks, with excellent documentation skills fitting for the role.

Qualifications

• 3+ years of machine learning experience.
• Experience scaling machine learning training and data pipelines.
• Proficiency with modern deep learning libraries and frameworks.

Responsibilities

• Collaborate on projects with a global team.
• Support research through construction of ML pipelines.
• Present results to collaborators and leadership.

Skills

Machine learning experience

Cloud services (AWS, Azure)

Deep learning libraries (PyTorch, HuggingFace, Ray)

Version control

Data processing

Education

BSc or MSc in Computer Science

Tools

Modern deep learning frameworks

Job description

Job Requisition ID # 25WD93749

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 world‑class researchers and engineers to build new ML‑powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with AI researchers to implement generative AI features in Autodesk products.

You will report to a research manager in the Research Engineering organization of Autodesk Research.

This role can be based at either our offices in London, UK or Toronto, Canada. Working in a hybrid working model.

Responsibilities

• Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
• Support research through the construction of ML pipelines, prototypes, and reusable, testable code
• Process data and analyze feature extractions
• 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 scaling machine learning training and data pipelines
• Experience with computational geometry and geometric methods including mesh or B-Rep models
• Experience with version control, reproducibility, and deploying machine learning models
• Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
• Experience with cloud services and architectures (e.g. AWS, Azure)
• Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace, Ray)
• Excellent written documentation skills to document code, architectures, and experiments

Preferred Qualifications

• Experience working with distributed systems
• Knowledge of the design, manufacturing, AEC, or media & entertainment industries
• Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)