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 Technology Support Engineer/Analyst

Amentum · United States

Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by the United States and its allies to address their most significant and complex challenges in science, security and sustainability. Our people apply undaunted curiosity, relentless ambition and boundless imagination to challenge convention and drive progress. Our commitments are underpinned by the belief that safety, collaboration and well-being are integral to success. Headquartered in Chantilly, Virginia, we have approximately 50,000 employees in more than 70 countries across all 7 continents.

We are seeking a highly skilled and motivated AI Technology Support Engineer/Analyst to join our dynamic team. The ideal candidate will possess a strong technical background in AI technologies, exceptional problem-solving abilities, and a passion for providing top-tier technical support. This role involves troubleshooting, diagnosing, and resolving complex issues related to AI products and services, as well as collaborating with cross-functional teams to enhance product performance and customer satisfaction.

Key Responsibilities:

  • Provide technical support for AI products and services, addressing client inquiries, troubleshooting issues, and offering resolutions in a timely and efficient manner.
  • Diagnose and resolve complex technical problems related to AI algorithms, model deployment, data processing, and system integration.
  • Collaborate with product development, engineering, and data science teams to identify and implement solutions for improving AI system performance and functionality.
  • Conduct thorough analysis of technical issues, document findings, and communicate solutions to internal teams and clients.
  • Develop and maintain comprehensive technical documentation, including user guides, troubleshooting manuals, and FAQs.
  • Offer training and guidance to clients and internal teams on the utilization and optimization of AI technologies.
  • Stay up-to-date with emerging trends and advancements in AI and related technologies to provide informed support and recommendations.
  • Participate in the continuous improvement of support processes and tools to enhance efficiency and customer satisfaction.

Knowledge, Skills and Abilities (KSAs):

  • Strong understanding of machine learning algorithms, natural language processing, data analysis, and AI model deployment.
  • Proficiency in programming languages such as Python, R, Java, or similar.
  • Knowledge of data preprocessing, data visualization, and data manipulation techniques.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
  • Excellent analytical and problem-solving skills with a proactive approach to identifying solutions.
  • Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
  • Ability to work independently and as part of a collaborative team in a fast-paced environment.

Minimum Requirements:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. A Master’s degree is a plus.
  • Three years of experience in a technical support or engineering role, with a focus on AI technologies and related domains.
  • Experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, etc.

Preferred Education, Experience and KSAs:

  • Certifications in AI/ML or related technologies are desirable.
  • Hands-on experience with deploying AI models in a production environment.
  • Knowledge of API integration and microservices architecture.
  • Experience with version control tools (e.g., Git).
  • Familiarity with database technologies (SQL and NoSQL).
  • Prior experience in a customer-facing technical support role.

Compensation Details:

86k - 107k

The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.

Benefits Overview:

Our health and welfare benefits are designed to support you and your priorities. Offerings include:

  • Health, dental, and vision insurance

  • Paid time off and holidays

  • Retirement benefits (including 401(k) matching)

  • Educational reimbursement

  • Parental leave

  • Employee stock purchase plan

  • Tax-saving options

  • Disability and life insurance

  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.

Original Posting:

03/26/2026 - Until Filled

Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.

Originally posted on Himalayas