Join the team redefining how the world experiences design by making it effortless for organizations to create, manage, and scale on-brand content
Job Summary
Join the team redefining how the world experiences design by making it effortless for organizations to create, manage, and scale on-brand content.
As a Senior Machine Learning Engineer, you'll be the ML technical lead, owning the end-to-end ML lifecycle from problem framing through to production deployment and iteration.
We offer equity packages, inclusive parental leave, an annual Vibe & Thrive allowance, and flexible leave options to support your success in and outside of work.
Matching Summary
Join the team redefining how the world experiences design by making it effortless for organizations to create, manage, and scale on-brand content.
Skills & Requirements
Must-have
Python and ML frameworks
NLP/NLU techniques and LLMs
Document understanding and layout analysis
Information retrieval and ranking systems
End-to-end ML lifecycle ownership
Production ML systems at scale
Nice-to-have
Strong product mindset
Scalable and maintainable ML systems
Disciplined coding practices
Experience with enterprise B2B products
Familiarity with GenAI platforms
Key Requirements
5+ years of hands-on ML experience
Proficiency with Python
Experience with PyTorch or TensorFlow
Experience with LLMs, embeddings, semantic search
Experience with document understanding
Experience building ranking/recommendation systems