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 Engineer

Eudia · Palo Alto, CA

About Eudia:
 
Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver. 
 
At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. 
 
We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you. 
 
About the Role:
 
We are looking to hire a solutions-minded, AI-focused engineer to join our growing team in Palo Alto. In this role, the candidate will seize a unique opportunity to work with data from Fortune 500 companies' legal and risk departments, developing the most secure, enterprise-grade software using the latest in Generative AI. The opportunity to tackle challenges in creating cloud-agnostic solutions, maintaining stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search also exist while you will be able to routinely innovate on behalf of our customers, collaborating with the world's top legal and risk experts, as well as preeminent business, technology, AI professionals, and engineers.
 
Key Responsibilities:
  • Work closely with customers to understand and address their AI/ML challenges, designing and deploying custom solutions that leverage company technologies. 
  • Act as the primary technical contact, providing hands-on support during deployment and ensuring successful integration.
  • Collaborate with product management and engineering to convey customer feedback, influencing AI/ML product roadmaps. 
  • Lead the deployment of AI/ML solutions, ensuring smooth integration and ongoing optimization.
  • Provide technical training to clients, identify challenges in AI/ML deployments, and proactively improve model performance.
  • Maintain clear communication with all stakeholders, providing regular updates on progress and outcomes.
 
Qualifications:
  • Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.
  • 2-5 years of experience in AI/ML engineering, data science, or a similar role, with a strong background in deploying and integrating AI/ML solutions in real-world environments.
  • Proficiency in LLMs, RAGs, evaluation techniques, and machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python. 
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML services is essential.
  • Strong problem-solving skills in diagnosing and resolving AI/ML model issues, including model drift, data quality challenges, and performance optimization.
  • Experience in client-facing roles, with excellent communication and interpersonal skills, and the ability to build strong relationships with customers while guiding them through the AI/ML deployment process.
  • Familiarity with MLOps practices and tools (e.g., MLflow) and experience in model deployment, monitoring, and continuous integration/continuous deployment (CI/CD) of AI/ML solutions.
  • A passion for AI/ML technologies and a desire to work on innovative solutions that drive significant impact for customers.
 
Preferred Qualifications:
  • Familiarity with applying artificial intelligence and machine learning techniques in customer deployments, particularly in areas such as data analysis, predictive modeling, or automation.
  • A background in deploying and supporting software solutions within legal technology or complex enterprise environments, with an understanding of industry-specific challenges and requirements.
 
Why You’ll Love Working Here:
  • Impactful Work: Be part of a team that’s at the forefront of AI innovation.
  • Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas.
  • Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference.

If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you!

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Compensation Range: $130,000 - $220,000

The posted salary range is based on our research for companies of our stage and size while in compliance with California law. This is a base salary compensation range and we encourage those who are interested to apply and have an initial discussion.