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Recommendation Systems
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Financials
How Crossing Minds hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Crossing Minds scores B on the Alion truth index (A is best, E worst), measured over 4 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Overview
Crossing Minds builds recommendation infrastructure that personalises catalogues without relying on third-party tracking data. Founded in 2017 in San Francisco, its models work from first-party behaviour and content understanding. Retail and media companies use it to power discovery in their own applications.
News
Optimized RAGSys: How Real-Time Feedback Powers Smarter LLMs
Closing the Loop: Real-Time Self-Improvement for LLMs with RAGSys - Traditional RAG relies on similarity-based retrieval, but real-time performance optimization is the next frontier. In this blog, we explore how KPI-driven fine-tuning transforms RAG from
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Tech stack
The technologies known for Crossing Minds, by layer.
Languages
Python
Frameworks & libraries
NumPy
Cloud & platforms
Figma
Webflow
Practices & domains
Machine Learning
Recommender Systems
Embeddings
Tokenization
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Growth
Hiring Momentum
31/100
Slowing
Open positions
4
0 opened / 0 closed in 30 days
ATS activity
Every ~4 hours
Today
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Product
25% ▼
Marketing
25% ▼
Customer Success
25% ▼
Early Careers
25% ▼
Activity Timeline
Added Machine Learning to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
2
Busiest office
San Francisco
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Headquarters
Builds here
Office with open vacancies
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San Francisco
United States
HQ
2 open roles 50% remote 10-50 est. staff
hires for Product, Customer Success
Paris
France
1 open roles 10-50 est. staff
hires for Early Careers
Jobs
≈ $198k – $377k per year (Estimated) • Hybrid • Full-Time • 5+ years exp • San Francisco
Recommender Systems
Machine Learning
Management
Agile
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