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 .

Data Infrastructure Engineer

Apple · London

Summary

Hundreds of millions of users. Billions of Shazams. Countless moments of discovery . Shazam brings a unique brand of magic to millions every day . It’s our people - their imagination, skills and ideas - that shape our future, and help us make the impossible come to life. At Shazam, we are fortunate to have some of the most exciting data in the music world and beyond. As a Data Infrastructure Engineer, you will help build Shazam's data platform which encompasses batch and real-time stream processing of mobile app event data, ETL jobs, machine learning modelling, and more.

Description

The role is based in in London while involving close collaboration with engineering & product teams around the world. You will help maintain our data platform’s infrastructure as well as utilise it to build new features & content. You will work across a wide array of systems & technologies that include both batch & real-time streaming pipelines. You will be able to participate, contribute, and even lead impactful projects that will allow us to further grow & improve upon our data platform.

Minimum Qualifications

Is currently participating in or has completed an emerging talent program at Apple Continuous learning and improvement mindset, willing to push yourself outside of your comfort zone Understanding and application of software engineering best practises Understanding of troubleshooting distributed systems Familiarity with cloud technologies Familiarity with DevOps tools

Preferred Qualifications

Self-starter and happy to build collaborative relationships with technical and non-technical stakeholders Interest or experience in analysing and working with large datasets in BigQuery Interest or experience in managing GCP infrastructure via Terraform Interest or experience in orchestrating batch jobs in Airflow