Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Build Your Role

Deeptune · New York City

About Deeptune

Deeptune builds training gyms for AI agents: high-fidelity simulation environments where AI learns to do real work through reinforcement learning. We work with the leading AI labs to help them train the next generation of agentic models, and our environments have already contributed to recent breakthroughs in computer use, code generation, and multi-step task completion.

We're a ~20-person team of engineers and operators from Anthropic, Scale AI, Palantir, Hebbia, Glean, and Retool, based in-person in New York City. We recently raised a $43M Series A led by Andreessen Horowitz, with participation from 776, Abstract Ventures, and Inspired Capital.

If you want to work on the hardest problems at the intersection of reinforcement learning and real-world AI deployment, we'd love to hear from you.

Read more: Fortune exclusive on our Series A | a16z: Why we're investing in Deeptune

Why this posting exists

We're growing the team significantly this year, and not every role we plan to hire for is live yet. If you're excited about what we're building and think you'd be a strong addition to the team, we want to hear from you.


Whether your background is in engineering, operations, finance, or something else entirely, submit an application and tell us what role you think you should be considered for!

We'll review every submission and reach out when there's a fit.

What we look for across the board

You've built something meaningful, whether that's a company, a product, or a critical system at a high-performing team. You're motivated by ownership and impact, not titles. You thrive in ambiguity and move fast without waiting for permission. You want to be part of a small team doing work that matters at the frontier of AI.

How to apply

Submit your resume and application below. Please include a note on what role or function you'd like to be considered for. We'll take it from there.