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 .

Senior Core Services Engineer

Humeai · NYC, San Jose, or Remote


We are seeking a talented software engineer with strong experience in backend web services, infrastructure and data pipelines to advance our core mission: using the world’s most advanced technology for emotion understanding to build empathy and goal-alignment into AI. Join us in the heart of New York City, or wherever you are located, and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century.


About Us

Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. We’re gearing up to launch the next generation of Octave and EVI, our foundational speech-language models for voice generation and powering real-time empathic AI assistants for any application.

Our models understand and generate subtle tones of voice, word emphasis, and more and the reactions of users. They are rated higher than models by OpenAI and others on empathy, expressiveness, naturalness, and speed, instantly speak with 100K+ unique voices and styles, stream language, emotion, and reasoning – all at once, and are fast enough to feel truly conversational (<300ms latency). Try them at hume.ai.

Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org). You can learn more about us on our website (https://hume.ai/) and read about us in WIREDForbes, and Venturebeat.


About the Role

As a Core Services Engineer, you will work closely with our team of research scientists, machine learning engineers, and designers to improve the services that allow us to deliver expression measurement, expression generation, and empathic foundation models in a number of groundbreaking applications. You will be involved in the design, development and maintenance of AI-powered solutions.


Responsibilities

  • Write clear and concise code to extend functionality on our web services.
  • Collaborate and grow alongside our engineering team.
  • Leverage and read APIs to create new integrations.
  • Create tests, metrics and infrastructure to help improve service reliability.
  • Design new systems to bring improvements and new facets to our APIs.


Requirements

  • 3+ years of experience in developing backend services.
  • Expertise working with storage and compute on a cloud platform (e.g.Google Cloud, AWS).
  • Deep understanding of modern deployment strategies utilizing cloud technologies. (e.g. blue/green, canary deployments, etc).
  • Experience using service deployment tooling (e.g. Kubernetes, Docker, Argo).
  • Experience in Kotlin/Spring, Typescript/Express, Python/FastAPI, or Rust.
  • Experience with building and maintaining highly available SaaS products. Ensuring scalability, performance, and observability.
  • Excellent communication and collaboration skills.


Bonus

  • Experience with machine learning concepts.
  • Experience with relational databases (PostgreSQL, BigQuery, etc).
  • Experience with data pipelines and warehouses (DBT, Spark, etc.)

 

Application Note

Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered.

Annual Salary
$160,000$260,000 USD