Machine Learning Engineer
Own the retrieval and ranking models that let a recruiter rediscover the right candidate out of millions of records in seconds. The work spans embeddings, entity resolution, and fairness testing on scoring output.
- Location
- Remote - US
- Type
- Full-time · Mid to Senior
- Compensation
- $155,000 - $185,000
- Posted
- August 3, 2026
What you will do
- Train and evaluate embedding models for resume and job description matching.
- Build entity resolution that merges duplicate candidate records across sources.
- Run adverse impact testing on ranking output and document the results.
- Deploy models through reproducible pipelines and monitor drift in production.
What we are looking for
- 4+ years in applied machine learning with production ownership, not research only.
- Fluent Python plus PyTorch, and hands on experience with vector search.
- Working knowledge of fairness testing under EEOC guidance and NYC Local Law 144.
- Able to explain model behavior to recruiters who do not write code.
For candidates
One application. A real conversation.
No cover letter, no account to create, and a decision within 24 hours either way.
Or call +1 (512) 555-0142 — Austin, TX