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 .

Data Infrastructure Engineer

Alljoined · San Francisco

About Alljoined

Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually moving to internal thought. We are state-of-the art in capabilities and are fully vertically integrated. Our goal is to develop a general consumer interface to completely transform how we can live our lives.

We are actively growing our founding engineering team to build the underlying infrastructure that makes this ambitious future a reality.

About the Role

As a Data Infrastructure Engineer, you will build the backend and hardware architecture that allows us to do high-quality and fast research. You'll be owning our entire data lifecycle, from building pipelines that process massive multimodal datasets (video, audio, text, time-series) to provisioning and managing both cloud and bare metal compute clusters we use to train on it. You will be powering our foundational model training by bridging the gap between physical neuro hardware and our central repositories, working alongside world-class researchers to ensure they have a high-throughput, low-latency pipeline straight to the GPUs.

You might be a good fit if you

  • Have 3+ years of production software engineering experience with deep expertise in systems-level architecture and languages like Python, Rust, C++, or Go.

  • Have built and maintained high-performance ETL pipelines capable of processing, buffering, and storing terabytes of daily unstructured data.

  • Are comfortable architecting, provisioning, and maintaining bare-metal local compute clusters, storage servers, and high-speed networking for intensive ML workloads.

  • Have a background in handling continuous, highly concurrent data streams from heterogeneous hardware peripherals without data loss.

  • Are capable of working across hybrid environments to define storage topologies, manage databases (TimescaleDB, ClickHouse), and sync massive datasets between on-premise edge servers and the cloud (AWS/GCP/Azure).

  • Enjoy owning the entire technical lifecycle of infrastructure, from optimizing low-level I/O bound operations to production deployment.

Strong candidates may have

  • A deep understanding of modern ML frameworks (PyTorch/TensorFlow) and know how to build datasets that maximize and saturate GPU utilization.

  • Experience managing networking for distributed GPU training (InfiniBand, RoCE) or optimizing zero-copy networking and shared memory.

  • Built infrastructure involving programmatic video processing (FFmpeg, GStreamer, OpenCV)

Compensation Range

$140,000 - $180,000/year

While this represents our expected range based on market data, final compensation will be determined based on your specific skills and experience and may be outside this range.

Benefits

  • Competitive equity compensation at a seed stage startup

  • Options for housing support

  • Visa sponsorship

  • 3% 401k matching

  • Health insurance