TL;DR

Machine Learning Engineer (AI): Design, build, evaluate, and refine AI systems powering core legal tech products with an accent on scalable production-ready ML components and advanced search quality. Focus on bridging research and production, optimizing ML inference, and developing intelligent workflows for legal professionals.

Location: Zurich, Switzerland, onsite

Company

%hirify_global% is a fast-growing venture-backed scale-up applying Artificial Intelligence in the legal domain, founded by ex-Googlers and PhDs in AI.

What you will do

Design, build, and improve ML-enabled components from research to production.
Train, evaluate, and optimize machine learning systems ensuring robustness and scalability.
Advance search quality using innovative models and data techniques.
Develop and enhance AI-powered workflows automating legal professionals' tasks.
Collaborate across engineering and business teams to deliver impactful AI features.

Requirements

Location: Must work onsite in Zurich, Switzerland.
Strong hands-on experience with training and serving deep learning models.
Proficiency in at least one modern deep learning framework (PyTorch, JAX, TensorFlow).
Experience building scalable AI-powered systems and familiarity with modern ML practices.
Excellent collaboration and communication skills.
Ability to thrive in ambiguous environments and take ownership of product components.

Nice to have

Experience with neural retrieval systems or agentic systems.
Publications in top AI journals or conferences.

Culture & Benefits

Full ownership of projects and tasks from day one.
Fast-paced learning environment combining ML and software engineering expertise.
Opportunity to shape the future of a high-impact AI scale-up.
Work in a diverse and inclusive team.