Machine Learning Engineer (3D Geometry/Multi-Modal)

TL;DR

Machine Learning Engineer (3D Geometry/Multi-Modal): Building and enabling ML-powered capabilities in hirify.global products with an accent on generative AI features and 3D data representations. Focus on implementing ML pipelines, prototyping experimental models, and solving complex computational geometry problems.

Location: Hybrid working model from the office in London, UK

Company

A global software company empowering creative people with tools for buildings, machines, and movies.

What you will do

• Collaborate with a global team to bridge the gap between research and product development.
• Build and iterate on ML pipelines, prototypes, and evaluation workflows for rapid deployment.
• Work with complex 2D and 3D datasets (meshes, B-Rep) for model training and analysis.
• Analyze model errors and implement technical solutions to improve performance.
• Present results and research findings to collaborators and leadership.

Requirements

• BSc or MSc in Computer Science or equivalent industry experience.
• 3+ years of machine learning experience.
• Proficiency with PyTorch and HuggingFace libraries.
• Experience with computational geometry and 3D data representations.
• Strong software engineering skills for version control and model deployment.
• Must be based in or able to work from the London office.

Nice to have

• Advanced degree (MSc/PhD) in Machine Learning or Computer Science.
• Experience scaling data pipelines using Ray or similar frameworks.
• Knowledge of cloud services and architectures (AWS, Azure).
• Experience with LLMs and generative AI systems (fine-tuning, prompting).
• Knowledge of CAD, CAE, or CAM software.

Culture & Benefits

• Competitive compensation package including base salary.
• Annual cash bonuses and stock grants.
• Comprehensive benefits package.
• Collaborative environment within a research-driven global team.
• Commitment to a culture of belonging and diversity.