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 .

View details

OpenLearning · United States

The Role

OpenLearning is a global social learning platform with a remote-first engineering team across Australia, Malaysia, and Indonesia. We use casual virtual office tools to stay connected and maintain a high-bandwidth, collaborative environment.

We operate at a high velocity. We are looking for an engineer who thrives on autonomy, ships high-quality code quickly, and takes full ownership of their work. In return, we provide a low-friction environment where management’s primary role is to clear your path, not micromanage your process.

The Technical Challenge 

We are currently evolving our architecture to integrate sophisticated AI and optimise performance for a global audience. You will own:

  • AI & LLM Architecture: Implementing RAG patterns and Model Context Protocol (MCP) to build deeply integrated, data-aware AI features.
  • Performance Engineering: Solving the "last mile" for learners on varied connection speeds. This involves data chunking, bandwidth optimisation, and aggressive front-end performance tuning.
  • Data Systems: Managing a dual-stack of SQL and MongoDB. You’ll handle schema design, index tuning, and complex data migrations between RDBMS and NoSQL environments.
  • The Full Stack: Building and scaling features across React/TypeScript and Python/Node.js.

What We’re Looking For

  • Technical Rigour: Extensive experience in React and Python. You should have a deep understanding of software engineering principles, design patterns, and core security.
  • Performance Expertise: A track record of identifying and fixing bottlenecks in web applications and databases. You care about bundle sizes, query latency, and TTI.
  • AI Implementation: Practical experience with LLM orchestration and vector databases.
  • Velocity & Ownership: You are comfortable in a fast-paced environment and prefer researching and proposing solutions rather than waiting for a functional spec.

The Culture 

We value high-signal, low-noise communication. We’re a team of capable, efficient workers who enjoy solving hard problems and respect each other's focus time. We take the work seriously, but we maintain a supportive, relaxed atmosphere where ingenuity is valued over hierarchy.

How to Apply 

Skip the cover letter. Send us your CV and a brief note about a technical bottleneck you solved recently. We’re interested in:

  1. The specific problem (Scale, Latency, or Complexity).
  2. The solution you implemented under pressure.
  3. The measurable result.