Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jul 2, 2026. Meta scores B on the Alion truth index.
If you want high ownership, a short path from idea to ship, and the chance to shape a product from its first version, this is that kind of team.
We're looking for a staff-level ML engineer to own the search algorithm - retrieval, ranking, and relevance - so people can find exactly what they're looking for.
Responsibilities
Own the modeling and systems direction for search - retrieval, ranking, query understanding, and relevance. Define search-quality metrics and the experimentation approach; drive measurable relevance gains. Build and scale the ML and serving systems search depends on. Set technical direction across teams; align search work with product strategy. Mentor ML and product engineers; raise the bar on modeling and evaluation rigor.
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12+ years of relevant experience, with deep expertise in search / information retrieval / ranking Strong foundation in ML and in the systems that train and serve models at scale Track record of driving search/relevance improvements that moved product metrics Experience setting technical direction across multiple teams Experience building search for a new product (0→1) Experience with semantic/embedding retrieval, query understanding, or large-scale search infrastructure Publications or recognized contributions in IR/search/ML

