Build an Embedding-Based Semantic Search for a Legal-Document Corpus
Overview
What this challenge is about.
Build an Embedding-Based Semantic Search for a Legal-Document Corpus. Intermediate challenge in code. Writing production code that solves real engineering pr...
The Brief
What you'll do, and what you'll demonstrate.
Build a semantic-search service that beats the keyword baseline on recall-at-10 and ships as a hybrid architecture.
This is not a coding exercise. It is the work a software engineer does between a Jira ticket and a merged PR. That distinction matters to every hiring manager who has seen candidates solve LeetCode problems and none who have shipped production code under real constraints.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Use pre-trained sentence-transformers for cross-lingual semantic search
- Compare semantic vs keyword retrieval with proper IR metrics
- Design hybrid retrieval architectures with reranking
- Translate evaluation results into production architecture decisions
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Machine Learning (CS Elective)
Master · General Studies
Strong alignment
This challenge maps to Machine Learning (CS Elective) at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Deep Learning
Design and train neural networks for complex pattern recognition tasks.
- Ml Applications
Apply ml applications to solve real industry problems and demonstrate production-level capability.
- Python Programming
Apply python programming to solve real industry problems and demonstrate production-level capability.
- Model Evaluation
Apply model evaluation to solve real industry problems and demonstrate production-level capability.
- Embeddings
Apply embeddings to solve real industry problems and demonstrate production-level capability.
- Information Retrieval
Apply information retrieval to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles: