DeepJudge AG
Heute veröffentlichtGehöre zu den ersten 5 Bewerbern

Machine Learning Engineer

Militärstrasse 36, 8004 Zürich · Legal AI · AG · Deutsch

Vor Ort100%Mid / Senior

About us:

Founded by former Google search engineers with PhDs in AI from ETH Zurich, DeepJudge helps legal teams unlock and apply the knowledge inside their organizations through world-class enterprise search and AI infrastructure – enabling them to automate workflows, build knowledge-powered applications, and turn institutional knowledge into a lasting advantage. Every organization can license the same AI models, but no two organizations share the same institutional knowledge. Decades of experience, work product, and precedent are often fragmented across systems, underused, and inaccessible. DeepJudge makes this expertise instantly available and actionable – helping legal teams find the right information faster, surface relevant knowledge, and apply it where it matters most. Our platform is trusted by many of the world’s leading law firms and legal teams, including Holland & Knight, Gunderson Dettmer, Cozen O’Connor, ArentFox Schiff, CMS Switzerland, Schoenherr, and others. Headquartered in Switzerland with a growing team across North America and Europe, DeepJudge is shaping the future of how professional knowledge is discovered and applied. At DeepJudge, we move with urgency, think rigorously, and work closely with our clients to build products that solve meaningful problems. If you want to help define how AI transforms professional knowledge work, we’d love to hear from you.

Your responsibilities will include:

Bridge Research and Production: Stay on top of the latest developments in the AI space and translate cutting-edge research into scalable, production-ready systems. Core ML: Train, evaluate, and optimize a wide range of machine learning systems. Drive efficient inference and deployment while ensuring the robustness, reliability, and scalability of ML-powered components across our product. Search: Continuously advance search quality through innovative use of models, data, tools, agentic systems, both offline and online evaluation, techniques, and any other means that move performance forward.

You're a great fit if you:

Have strong hands-on experience, including training and serving deep learning models. Are proficient in at least one modern deep learning framework (e.g. PyTorch, JAX, TensorFlow). Are familiar with modern ML practices, and have experience building scalable AI-powered systems that deliver real value. Experience with neural retrieval systems, agentic systems, or publications in top journals/conferences is a strong plus. Take ownership of key product components, define their technical vision, and navigate the uncertainty of building first-of-its-kind AI models. Thrive in fast-paced environments, executing with focus while collaborating effectively across engineering and business teams. Are passionate about solving complex problems and pushing the boundaries of AI, turning cutting-edge ML ideas into impactful, production-ready features. Last but not least, if you have exceptional communication skills that make sharing complex ideas, giving feedback, and incorporating diverse perspectives second nature.

Fähigkeiten

PythonML / AIPyTorchTensorFlowMachine Learning
JAXDeep LearningAINeural Retrieval SystemsData AnalysisModelingScalable SystemsInferenceDeploymentSearch QualityAgentic Systems

Gehaltsspanne

Auf Anfrage

Dieser Arbeitgeber nennt die Gehaltsspanne im ersten Gespräch.

DeepJudge AG
Der ArbeitgeberDeepJudge AG
Unternehmenstyp
AG
Teamsprache
Deutsch
Branche
Legal AI

Kontakt

At DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law.

Standort

Militärstrasse 36, 8004 Zürich
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