Machine Learning Engineer - Production AI Systems (Zurich)

Embodied AI; Zürich; Hybrid; CHF 120.000 - 165.000; Vollzeit

Zusammenfassung

DeepJudge is seeking a Machine Learning Engineer to design, build, and refine AI systems powering our core products. You will own the ML lifecycle from research to production, including data analysis, modeling, implementation, and evaluation for customers.

You will work with state-of-the-art frameworks like PyTorch/JAX/TF and contribute to neural retrieval and agentic systems, delivering scalable, high-impact features in a fast-paced environment.

Qualifikationen

• Hands-on experience training and serving deep learning models.
• Familiar with modern ML practices and scalable AI-powered systems.
• Publications in top journals/conferences is a strong plus.

Aufgaben

• Bridge Research and Production: translate cutting-edge research into scalable, production-ready systems.
• Core ML: train, evaluate, and optimize a wide range of ML systems for robust deployment.
• Search: advance search quality using models, data, tools and evaluation.

Kenntnisse

Deep learning

Production-ready systems

Research to production

Tools

PyTorch

JAX

TensorFlow

Jobbeschreibung

DeepJudge is seeking a Machine Learning Engineer to design, build, and refine AI systems powering our core products. You will own the ML lifecycle from research to production, including data analysis, modeling, implementation, and evaluation for customers.

You will work with state-of-the-art frameworks like PyTorch/JAX/TF and contribute to neural retrieval and agentic systems, delivering scalable, high-impact features in a fast-paced environment.