24 hours ago
Zürich, SwitzerlandSenior
Responsibilities
- Translate cutting-edge AI research into scalable, production-ready systems.
- Train, evaluate, optimize, and serve machine learning and deep learning models.
- Improve search quality using models, data, tools, agentic systems, and offline and online evaluation.
- Own ML-enabled product components across data analysis, modeling, implementation, production delivery, customer delivery, and iterative improvement.
- Drive efficient inference and deployment while maintaining robustness, reliability, and scalability.
- Define the technical vision for key product components and collaborate across engineering and business teams.
Requirements
- Strong hands-on experience training and serving deep learning models.
- Proficiency in at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow.
- Experience with modern machine learning practices and scalable AI-powered systems.
- Ability to take ownership of key product components and navigate ambiguity when building new AI models.
- Strong problem-solving, collaboration, and communication skills.
- Experience with neural retrieval systems, agentic systems, or publications in top journals or conferences is preferred.
Benefits
- Primarily office-based work at an office near Zurich central station.
- Full ownership of projects and tasks from day one.
- Opportunity to help shape the future of a high-impact scale-up.
- Fast-paced professional growth combining machine learning and software engineering expertise.
- Inclusive equal-opportunity workplace committed to diverse perspectives and experiences.
Tech Stack
PyTorchTensorFlow
Categories
About DeepJudge
DeepJudge builds an AI-powered enterprise search and knowledge platform for law firms and in-house legal teams, integrating with document and knowledge systems to surface institutional know-how and support LLM-driven workflows. The company licenses its software to legal organizations to power knowledge search, automation, and agent-based applications. Privately held and headquartered in Zürich, it was founded by former Google search researchers with PhDs from ETH Zurich.