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 Research Scientist- GenAI

Bosch · Pittsburgh, PA, US

Engineering Associate REF276153G

As a part of the global research, our AI research in Pittsburgh focuses on Multimodal Foundation Models, AI-based Sensing, Driving assistance, agentic AI, and efficient GenAI. We develop scalable, intelligent, and trustworthy AI solutions for Bosch products and services in application areas such as advanced manufacturing, smart home and building solutions, advanced driver assistance systems (ADAS), robust AI systems, and AI-based simulators.

Originating from Bosch AI research in Pittsburgh, we are responsible for pushing the boundaries of multimodal foundation models and GenAI through key innovations to solve complex industry problems, and shape the future of Bosch products and services for both internal and external users. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc.)

  • Conduct research on multimodal foundation models, agentic AI, robustness and efficient GenAI to address academic and industrial challenges.
  • Work with an international team of experts to transfer and apply Bosch in-house AI innovations and 3rd-party solutions to Bosch AI products and services, building systems that can advance manufacturing, energy solutions, AI-based sensing, driving assistance, etc.
  • Stay abreast of the latest technological innovations and market trends by attending academic conferences, technical events, and seminars.
  • Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.

Document and disseminate research findings through high-caliber publications and/or patent submissions.

Basic Qualifications

  • Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years industry experience (multimodal foundation model related) after graduation.
  • 4+ years of research experience or equivalent graduate research experience on multimodal foundation models, agentic AI, robust and efficient GenAI
  • In-depth experiences in foundation models, with work in at least two of the following areas: time-series data analysis, LLMs, VLMs/MMLMs, inference efficiency, deployment of large models, robustness
  • Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI libraries.
  • Publication record in top venues including ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc.
  • Strong interpersonal, communication, and teamwork capabilities.
     

Preferred Qualifications

  • Strong background in math, statistics, computational modeling
  • 3+ years experiences in industrial research
  • Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets.
  • Experience in leading R&D project & team dealing with international customers.
  • Leadership skills with excellent English communication & teamwork skills.

Equal Opportunity Employer, including disability / veterans.

Please note that employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. 

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