Applied Algorithms Engineer

About You

You like problems with a clear objective, messy real-world constraints, and lots of room for cleverness.

If you've done competitive programming / optimization competitions, you'll feel at home here: legal search is basically an optimization game where you trade off quality (F2/NDCG), latency (p95), and cost under strict correctness constraints (citations, traceability, jurisdiction). You'll build scoring functions, retrieval pipelines, rerankers, and evaluation harnesses; and you'll ship improvements that users notice immediately.

You enjoy:

• Turning vague user intent into formal signals + algorithms
• Designing fast, low-latency systems under tight budgets
• Running ablations, debugging failure cases, and iterating quickly
• Owning the full loop: idea → benchmark → ship → measure

About Omnilex

Omnilex is a young, dynamic AI legal tech startup with roots at ETH Zurich. Our interdisciplinary team (1...

Ready to Apply?

Submit your application today and join our talented team at Omnilex.