About this role
DeepJudge is hiring a Machine Learning Engineer based at the Zurich headquarters to design, build, evaluate, and refine artificial intelligence systems powering core products. This position is well-suited for a hands-on engineer with deep learning expertise who wants to own the full machine learning lifecycle from research to production.
Role Overview
The Machine Learning Engineer will take ownership of machine learning components across the entire product lifecycle at DeepJudge. Located primarily in the office near the Zurich central station, the person in this role will drive efficient inference, deployment, and search quality improvements for enterprise legal search technology.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Founded by former Google search engineers holding doctoral degrees in artificial intelligence from ETH Zurich, DeepJudge builds enterprise search and artificial intelligence infrastructure for legal teams. The platform automates workflows and unlocks institutional knowledge for prominent law firms such as Holland & Knight, Gunderson Dettmer, Cozen O’Connor, ArentFox Schiff, CMS Switzerland, and Schoenherr. Headquartered in Switzerland with a growing team spanning North America and Europe, the organization operates as an equal opportunity employer.
How to Apply
Interested candidates should visit the official company careers page to submit an application.
Skills and tech stack
Questions candidates ask
Where is this job located?
This position is located at the DeepJudge headquarters near the Zurich central station, with team members mostly working from the office.
What frameworks are required?
Applicants must be proficient in at least one modern deep learning framework such as PyTorch, JAX, or TensorFlow.
What is the primary focus of the role?
The role focuses on designing, building, evaluating, and refining AI systems, bridging research and production, and advancing search quality for core products.
Are there any preferred qualifications?
Experience with neural retrieval systems, agentic systems, or publications in top journals and conferences are considered a strong plus.
How should I apply?
Candidates should apply through the official company careers page.