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 .

Lead Applied AI Engineer

Materialbank · Boca Raton, FL (Hybrid)

Material Bank is the world’s largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials.

As an Applied AI Engineer, you will lead the design, build, and deployment of AI workflows across Material Bank. You will be responsible for creating innovative, scalable, and high-performing AI systems that improve internal efficiency while strengthening the core mechanics of how we operate. Your work will span two major domains (1) internal AI enablement - automating and optimizing internal workflows (e.g. project tracking, reporting, etc.) and (2) business-embedded AI - enhancing the systems and workflows that drive revenue and growth (e.g. sales prospecting, data enrichment, user support tools, etc.)

This role requires deep cross-functional collaboration. You will partner with technical teams (Engineering, Data) and non-technical stakeholders (Sales, Operations, Marketing, and Executive Leadership) to identify high-impact opportunities and translate business needs into practical, production-ready AI solutions. You must be equally comfortable architecting systems with engineers and communicating AI capabilities, trade-offs, and ROI to senior leaders.

You will prioritize initiatives based on true organizational value, balancing speed, feasibility, scalability, and long-term impact, and educate the executive team on where AI can create meaningful advantage and where focus matters most. This role requires a deep passion for applied AI, along with demonstrated experience deploying AI solutions in production and embedding them into operational and revenue-driving workflows. AI will be foundational to how Material Bank scales, and you will help architect that future.

This hybrid role is based in our Boca Raton headquarters, with three days per week onsite, partnering closely with our COO to drive AI initiatives.

What you’ll do:

  • Design, build, and deploy end-to-end AI workflows from concept through production across internal and revenue-driving functions.
  • Identify and prioritize high-impact AI opportunities that improve efficiency, decision-making, and organizational velocity.
  • Embed AI into core business processes, including sales prospecting, brand vetting, material classification, data enrichment, and user support tools.
  • Architect scalable solutions leveraging LLMs, embeddings, agent frameworks, automation tools, and modern data infrastructure.
  • Partner cross-functionally with Engineering, Data, Sales, Marketing, Operations, and Executive Leadership to translate business needs into production-ready AI systems.
  • Educate and advise leadership on AI capabilities, trade-offs, prioritization, and ROI to ensure focus on initiatives that drive the greatest business value.
  • Continuously evaluate emerging AI technologies and ensure all implementations are built on clean, secure, and scalable data foundations.

What you’ll bring:

  • 5+ years of engineering experience, with demonstrated success building and deploying production-grade AI/ML systems.
  • Deep hands-on experience with LLMs, embeddings, RAG architectures, and/or agent-based frameworks.
  • Strong programming proficiency in Python and/or TypeScript/JavaScript (additional languages a plus).
  • Experience designing scalable data pipelines and working with SQL/NoSQL databases and modern data infrastructure.
  • Proven ability to translate ambiguous business problems into practical, high-impact technical solutions.
  • Experience collaborating across technical and non-technical teams, with strong communication skills at both operator and executive levels.
  • Strong product and prioritization instincts, with a focus on measurable business impact and ROI.
  • Passion for applied AI and a track record of integrating AI into operational and revenue-driving workflows.

What you’ll get from us:

  • Our people: We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution.
  • Relaxation and Celebrations: Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). 
  • Health Benefits: We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. 
  • Plan for your Retirement: 401(k) eligible after your first 90 day's employed!
  • Giving Back: We sponsor multiple events throughout the year to help out our communities. 
  • Growth: We’ll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! 
  • Flexible Work Schedules: With business units and employees across the globe, Material Technologies has embraced a hybrid  working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both.  

Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.

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