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DeepJudge is an AI-powered enterprise search and knowledge management platform founded by former Google search engineers with PhDs in AI from ETH Zurich. The company helps legal teams unlock institutional knowledge, automate workflows, and build knowledge-powered applications. Trusted by leading law firms including Holland & Knight, Gunderson Dettmer, and Cozen O'Connor, DeepJudge is headquartered in Switzerland with growing teams across North America and Europe.
As a Machine Learning Engineer, you will own the complete lifecycle of ML-enabled product components, from research and data analysis through production deployment and iterative improvement. You will bridge cutting-edge AI research with scalable, production-ready systems that deliver real customer value.
Key responsibilities:
- Translate latest AI developments into scalable, production-ready systems
- Train, evaluate, and optimize machine learning models across the product
- Drive efficient inference and deployment while ensuring robustness, reliability, and scalability
- Continuously advance search quality through innovative modeling, data techniques, agentic systems, and both offline and online evaluation
- Take ownership of key product components and define their technical vision
- Collaborate across engineering and business teams in a fast-paced environment
The role offers full project ownership from day 1, the opportunity to shape a high-impact scale-up, and a fast-paced learning environment combining diverse ML and software engineering expertise.
Requirements:
- Strong hands-on experience training and serving deep learning models
- Proficiency in at least one modern deep learning framework (PyTorch, JAX, or TensorFlow)
- Familiarity with modern ML practices and experience building scalable AI-powered systems that deliver real value
- Experience with neural retrieval systems, agentic systems, or publications in top-tier journals/conferences is a strong plus
- Ability to take ownership of key product components and define technical vision
- Thrives in fast-paced environments with strong execution and cross-functional collaboration
- Passionate about solving complex problems and pushing AI boundaries
- Exceptional communication skills for sharing complex ideas and incorporating diverse perspectives
