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 .

Software Developer, AI

Endpointclinical · Bengaluru, India

About Us:

Endpoint is an interactive response technology (IRT®) systems and solutions provider that supports the life sciences industry. Since 2009, we have been working with a single vision in mind, to help sponsors and pharmaceutical companies achieve clinical trial success. Our solutions, realized through the proprietary PULSE® platform, have proven to maximize the supply chain, minimize operational costs, and ensure timely and accurate patient dosing. Endpoint is headquartered in Raleigh-Durham, North Carolina with offices across the United States, Europe, and Asia.

Position Overview:

The Associate Software Developer – AI will be instrumental in implementing AI technologies to enhance business processes across the organization.
 
This role involves working with the other members of the Automation CoE to implement AI-based solutions that are identified and approved.
 
The responsibilities include developing proof of concepts (POCs) and working with the team to implement AI solutions at scale globally. Key skills include proficiency in NLP, prompt engineering, and hands-on experience with AI tools and frameworks. 
The role is available at our offices in Hyderabad and Bangalore.

Position Overview:

The Associate Software Developer – AI will be instrumental in implementing AI technologies to enhance business processes across the organization.
 
This role involves working with the other members of the Automation CoE to implement AI-based solutions that are identified and approved.
 
The responsibilities include developing proof of concepts (POCs) and working with the team to implement AI solutions at scale globally. Key skills include proficiency in NLP, prompt engineering, and hands-on experience with AI tools and frameworks. 
The role is available at our offices in Hyderabad and Bangalore.

#LI-MT #LI-Onsite

Responsibilities:

  • Proof of Concepts (POCs): Develop and present POCs to demonstrate the feasibility and value of AI-driven solutions.
  • Implementation: Implement AI-driven solutions at scale across the organization, ensuring consistency and alignment with global standards.
  • Maintenance and enhancement: Ensure the deployed solutions are working as intended, respond to end-user and technical team requests for updates and bug fixes, support new requirements by upgrading the solution and ensure its availability for users.
  • New AI driven solution ideation: Keep abreast of the latest developments in the AI world, understand how they would fit into Endpoint’s requirements and present them to senior management for review.
  • Education:

  • Bachelor's degree in Computer Science, Engineering, or equivalent field or appropriate experience will be considered.
  • Experience:

  • 2+ years of extensive experience in software development with a strong understanding of front-end and back-end technologies.
  • 1+ years of experience can be considered for exceptional and proven candidates
  • Strong experience in understanding and implementation of the latest AI driven solutions in enterprise software applications
  • Previous working experience with an Interactive Response Technology (IRT) platform or system highly preferred.
  • Skills:

  • Programming Proficiency: Strong programming skills in languages commonly used in AI development, such as Python, are crucial. Additionally, proficiency in .Net, Java, JavaScript, etc. is desirable.
  • Hands-On Experience with AI Tools and Frameworks: Practical experience with AI tools and frameworks such as Hugging Face and OpenAI.
  • Prompt Engineering: Ability to design and optimize prompts for AI models to achieve desired outputs.
  • Collaboration and Interdisciplinary Skills: Ability to work effectively with cross-functional teams, including business stakeholders, to implement AI solutions.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Excellent organizational and time management skills
  • Attentive listening skills.

  • Additional skills that are desirable but not mandatory include:
  • Understanding Neural Networks: Proficiency in neural networks, including architectures like Convolutional Neural Networks (CNNs) and Transformers, is essential. This includes knowledge of activation functions and backpropagation techniques.