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 .

Artificial Intelligence Research Internship

SpotLab · Madrid, Comunidad de Madrid, Spain

We are facing a real challenge and we are looking for the right person to join our adventure.


The use of digitalization technologies and Artificial Intelligence in the world of healthcare reveals great opportunities to benefit and improve patient’s care, reducing costs and improving global health. We can find many medical areas that are already getting the benefits of this new wave, however, others like hematology, infectious diseases, neglected tropical diseases, among others, still remain one step behind. SpotLab is fighting to bridge the gap.


We have received more than 10 international awards, including the Seal of Excellence of the European Union, being one of the most innovative start-up companies based on breakthrough innovations with scale and impact potential. We are a multidisciplinary orchestra with gender parity where developers, engineers, doctors, business managers, etc. with different professional backgrounds interact and complement each other.


We are offering an Artificial Intelligence Research Internship in Madrid, who will help to develop, train and deploy machine learning and image processing algorithms for health.


Requirements

Main Tasks

  • Developing solutions for medical image analysis using neural networks, image processing and LLMs.

  • Preparing the working environment to organize and clean the data, the ground truth, and everything needed to evaluate different algorithms and pipelines.

  • Interacting with medical specialists and product managers to understand the needs and assess technical feasibility.

  • Deploying algorithms in real time operational conditions working together with the engineering team.

  • Helping to draft the technical documentation of the technology developed.

  • Supporting the team at any stage of the research from state of the art analysis to experiment planning and execution.

Skills, Experience and Qualifications required:

  • Experience developing solutions in the field of AI.

  • Knowledge of the followings subjects is a plus:

  • Artificial Intelligence in the Edge

    1. Biomedical image processing

    2. Computer vision

    3. Video processing

    4. NLP

    5. LLMs

    6. Any other input data, such as audio? text? accelerometers? or any other? let us know!

  • Software engineering skills in Python and experience with the Python scientific ecosystem.

  • Knowledge of artificial intelligence frameworks and in particular deep learning libraries (Keras, TensorFlow, Caffe or Torch) (WandB). Knowledge of programming with GPUs is a plus. 

  • A master's degree  in computer science, Mathematics, Engineering or another relevant discipline is a plus.

  • Encouraged to try new ideas, willing to share points of view with workmates

  • Willingness to take risks and the ability to stay persistent.

  • A dreamer soul and empathic heart, with the urge to create a positive impact in this world

  • Excellent communications skills, both written and verbal (spanish and english)

  • Ability to work in a small team, full of multidisciplinary people and a fast-change environment.

  • Ability to deal with uncertainty, autonomy to explore new paths and dare to walk the unwalkable.