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 .

NLP Developer

Busigence Technologies · United States

This is a remote position.

Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.

NLP Developer

Team: Sciences

Location: Remote

Relevant Exp: 0-4 Years

Background: Been there-Done that

Compensation: Above industry standards


Requirements

This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsive

Remote position (work-from-anywhere)

Immediate joiners must apply

NLP Experienced - course/competitions/internships/job (<4 years)

Competitive compensation

************
| MUST HAVE |
************

1. Code in Python3 - Numpy?

2.Code in Python3 - Pandas?

3.Code in Python3 - Scikit Learn?

4. Code in Python3 - SpaCy 3?

5.Code in Python3 - TensorFlow 2?

6. Code in Python3 - PyTorch 1.5?
7.Developed deep learning models on real-world problems involving processing text and speech?

===========================================

We are offering one of the most challenging & exciting work on Language Processing Pipelines. You shall be working on sophisticated platforms, products and applications

===========================================

We are looking for developer with real passion for natural language processing. This is a specialist and individual contributorrole. Product development experience preferably at a startup or a lean team is desired


ROLE

We are looking for engineers with real passion for natural language with actual hands-on experience developing artificial intelligence application on TensorFlow/PyTorch. You would be required to work with our data science team on development of several AI applications.


Mandatory

1. Fetching unstructured data (text, audio, logs) from data sources (databases, filesystems, APIs, streams etc.)
2. Prepare data through frameworks including NLTK, SpaCy, Gensim, Librosa etc.
3. Writing complex deep learning models in TensorFlow/PyTorch for classification, regression, clustering, association, anomaly detection, structured output
4. Worked extensively on deep neural networks - CNNs, RNNs, MLPs, DBNs, RBMs, Autoencoders
5. Worked on word vectors and word embeddings
6. Worked on entity resolution for document processing

Preferred
1.Functional programming in Python onvinaigrettemap-reduce lambda paradigm
2. Worked on development of data platform
3. Worked on Scikit-learn, PyTorch, Keras
4. Implemented BERT on context-based language processing
5. Implemented attention mechanism on transformers

Benefits

How to Apply
You should apply online by clicking "Apply Now".
For queries regarding an open position, please write to[email protected]

For more information, visit http://www.busigence.com
Products: http://busigence.com/offering

Careers: http://careers.busigence.com

Research: http://research.busigence.com

Jobs: http://careers.busigence.com

Scaling established startup innovating & disrupting various domains through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday.
We are a deep rooted organization with success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing Enterprise AI products. More details at http://busigence.com/offering

We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.

We look for intent & talent, not skills
1. You must be [super sharp]
2. You must be [extremely energetic]
3. You must be [honourably honest]
In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….

We offer you:[Greatest work of life]

You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.

We try real hard to hire fun loving crazy folks who are driven by more than a paycheque. You shall be working with creamiest talent on extremely challenging problems at most happening workplace


Originally posted on Himalayas