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 Software Engineer

Stylitics · New York, NY

Who We Are  

Stylitics is the leading visual outfitting and styling solution for the world’s top retailers and brands. Our clients include Nike, Macy’s, Revolve, Puma, Crate & Barrel, Bloomingdale’s, and dozens of others. Founded in 2011, Stylitics uses a powerful combination of algorithms, trend data, and stylist expertise to deliver millions of on-brand outfit recommendations daily across multiple channels such as e-commerce, email, advertising, stores, and social media. About 100 million shoppers use Stylitics content and technology on retail sites each month to find inspiration, discover new products and brands, and gain confidence in how to style their purchases.

We are looking for an experienced AI Software Engineer to join our team and help shape the future of how Stylitics empowers AI models with the data, tools, and expertise they are missing out of the box. In this role, you’ll combine your expertise in data science, software engineering, and prompt design to drive innovation in AI model-based applications across various retail use cases and multiple clients. You’ll work fairly independently while connecting with cross-functional teams to prototype, test, and deploy unique solutions. This is a hands-on individual contributor role reporting directly to the CTO with high visibility and the opportunity to influence the way we build, monitor, and evaluate next-generation AI systems. If you're excited about exploring the frontiers of generative AI and making a direct impact through production-level contributions, we’d love to meet you.
  • Contract role with the potential to convert to full-time employment
  • Candidates must be within commuting distance of New York City, as the role requires ~50% in-office presence. Please note that Stylitics does not provide relocation assistance for this position.
What you will do
  • Write production-level code in Java (with AI tools)
  • Prompt engineering and testing with LLMs, including Claude, Gemini, and OpenAI models
  • Context engineering to determine the right data
  • Agentic workflow design
  • Help us build systems to easily monitor and test LLM performance
  • Analyze large data sets
  • Design and implement solutions for scale and maintainability across multiple clients
  • Contribute as a thought leader to conversations around LLM usage
Qualifications
  • Software Development Experience (5+ years), with strong Java programming skills
  • Experience with LLMs, testing, and prompt engineering, including work with Claude, Gemini, and OpenAI APIs
  • Solid understanding of system design, scalability principles, use of APIs, and open source packages
  • Demonstrated ability to evaluate model performance using structured test cases and metrics
  • Excellent communication skills
  • Ability to operate independently with ambiguity in product definition
Great to haves:
  • Working experience with building test workflows for LLMs
  • Degree in Computer Science, Data Science, Statistics
  • Familiarity with additional programming languages such as Python for data processing or AI prototyping

Our Values

Our values reflect what is important to us at Stylitics and serve as the foundation in which we do business. Each core value is best illustrated by actions and attitudes that each Stylitics team member practices. They define what working at Stylitics means and what our teams embody through their time here.

  • We care deeply about delivering high quality work
  • We work to be the best partners possible
  • We get things done
  • We believe the right team matters most
  • We think like customers and act like owners
  • We relish being pioneers

Join Us

We strive to create a place where all feel safe, empowered, engaged, championed, and inspired. Equal Employment Opportunity has been and will continue to be, a fundamental principle at Stylitics where employment is based upon personal capabilities and qualifications without discrimination because of race, religion, color, gender, national origin, age, citizenship, ancestry, marital status, sexual orientation, gender identity and expression, pregnancy and related medical conditions, veteran status, genetic information, disability or any other reason prohibited by federal, state or local law. This applies to all policies and employment practices relating to recruitment and hiring, compensation, benefits, termination and all other terms and conditions of employment.

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