AI/ML Engineer - #53692

Brieflee


Datum: 2 weken geleden
Stad: Antwerpen, Vlaanderen
Contracttype: Voltijd
Design intelligent systems that make legal work faster, smarter, and more accessible.

About The Role

Brieflee’s core experience is built on AI-native legal research and drafting for Belgian law—grounded in traceable sources and real case files.

We’re hiring an AI/ML Engineer to improve how our system retrieves, ranks, and reasons over legal documents and uploaded files. You’ll work closely with product and engineering to ship features like better relevance, source-grounded generation, and smarter chronology and issue extraction—so lawyers can move faster with outputs they can defend.

What you’ll be doing

  • Build and ship AI features that make legal research and drafting faster, clearer, and more reliable.
  • Improve how the product understands legal language and user intent to deliver more relevant results.
  • Develop methods to extract and structure key information from legal documents and case files.
  • Ensure outputs remain trustworthy by strengthening traceability, consistency, and quality controls.
  • Collaborate closely with product and engineering to turn user needs into scalable AI capabilities.
  • Design and run experiments to measure improvements and prevent quality regressions over time.
  • Help define best practices for responsible AI use in a legal context (precision, transparency, and predictable behavior).
  • Support continuous improvement through monitoring, user feedback loops, and iteration.

About You

  • 3+ years of experience in machine learning or applied NLP.
  • Strong background in LLMs, transformers, and text-based classification tasks.
  • Experience with Python, PyTorch, TensorFlow, or similar frameworks.
  • Ability to balance experimentation with shipping production-ready features.
  • Interest in LegalTech, compliance, or domain-specific modeling is a plus.

Benefits

  • Remote-first with flexibility for async work and deep-focus time.
  • Competitive salary + meaningful equity (early-stage ownership).
  • Learning budget for conferences, courses, and tools relevant to ML and LegalTech.
  • High autonomy: small team, fast shipping, low bureaucracy.
  • Direct user feedback loop with Belgian lawyers—your work has visible impact on trust and adoption.
  • Work on real problems: relevance, traceability, and defensible AI in a high-stakes domain.

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