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 .

AI Platform Lead

Auditdata · Remote job

About the role: 

250 million people worldwide live with hearing loss — and most don’t get the care they need. Auditdata builds the cloud platform hearing care professionals use every day to fit devices, manage patients, and run their clinics.

We’re starting a new AI Platform team to bring intelligence into that workflow: real-time transcription of clinical sessions, automated clinical documentation, and AI-assisted workflows that reduce admin so clinicians can focus on patients. This is greenfield work with direct patient impact.

We’re looking for a hands-on technical lead to build the foundation: ship production AI services, shape the architecture, and grow a small team.

What you will do:

  • Build and run AI services in production on Azure: dependable, observable, and cost-aware.

  • Own the transcription pipeline that turns clinical conversations into usable structured data.

  • Deliver LLM-powered capabilities for documentation and data transformation, with safety controls appropriate for a clinical context.

  • Create a reusable “AI workflow layer” so product teams can plug in AI features without reinventing orchestration, permissions, and traceability.

  • Define platform interfaces (APIs/SDKs) that make adoption easy across the engineering org.

  • Lead while building: mentor engineers, review designs, and raise the quality bar (~30% leadership; ~70% hands-on).

What success looks like:

  • The AI Platform is established as a trusted internal platform used by multiple product teams for AI features 

  • Transcription, LLM document generation, and the agent framework are reliable, observable, and cost-efficient in production 

  • The AI platform has a clear roadmap, aligned with product and architecture, with transparent tradeoffs and priorities 

  • You are recognized as the go-to technical leader for AI services, working peer-to-peer with architects, product, and other engineering leads.

Key competences and expertise:

  • 5+ years building and operating backend/platform services in production

  • Strong engineering fundamentals (testing, CI/CD, observability, reliability)

  • Experience with cloud-native systems (APIs, microservices, event-driven; Kubernetes a plus)

  • Hands-on experience shipping AI-powered features (LLMs, retrieval/knowledge grounding, prompt/tool workflows, or similar)

  • Python preferred, or a similar backend language

  • You’ve owned systems end-to-end and can guide others through ambiguity.

Nice-to-haves: 

  • Speech-to-text experience (Azure, Whisper, or similar)

  • Azure platform services (AKS, API Management, Key Vault, etc.)

  • .NET ecosystem familiarity

  • Regulated / healthcare domain experience

  • Multi-tenant SaaS and global deployment experience

  • Experience building internal platforms used by multiple teams.

What’s in it for you:

  • Greenfield AI work with real patient impact

  • Remote-first, async-friendly culture

  • High engineering and product standards

  • A team that values depth over hype: production quality over flashy prototypes

  • A culture that values personal growth as much as business outcomes

  • Long-term engagement in a stable, growing SaaS company 

  • Flexible environment with a flat organizational structure

  • A global, diverse, and highly skilled team across Denmark, Ukraine, UK, Poland, Canada, Australia, USA, and more. 

Feels like it’s a perfect match to you? 
We look forward to your application!
(please submit your English CV) 

Auditdata is an equal opportunity employer that is committed to create diverse work environment free of discrimination and harassment. We make recruiting decisions based on your experience and skills.