Full-Time

AI / NLP Engineer

Posted on 9/4/2025

SquarePeg

SquarePeg

11-50 employees

AI-driven job matching via assessments

No salary listed

Remote in USA

Remote

Category
AI & Machine Learning (2)
,
Requirements
  • Deep understanding of machine learning algorithms, particularly in recommendation systems or ranking problems
  • Experience with prompt engineering, prompt chaining, and LLM fine-tuning
  • Knowledge of vector databases and semantic search technologies
  • Familiarity with A/B testing and experimental design
  • 3+ years of hands-on experience with Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)
  • Proven track record in natural language processing and working with large language models (OpenAI, Anthropic, open-source LLMs)
  • Experience with data engineering tools and cloud platforms (AWS, GCP)
  • Strong background in entity resolution, data matching, or similar deduplication challenges
  • Building and maintaining ontologies
  • Building datasets and evaluation pipelines
  • Choosing different methods based on tradeoffs of cost, latency, and accuracy
Responsibilities
  • Build and maintain taxonomies for candidate and job attributes; bootstrap gold datasets and evaluation pipelines
  • Extract and normalize entities from resumes and job descriptions; craft and optimize prompts and fine-tuned models
  • Develop and refine retrieval, ranking, and scoring using embedding-based methods and LLMs
  • Refine proprietary scoring algorithms that evaluate candidate-job compatibility
  • Conduct deep-dive analyses to identify patterns in successful hires and optimize the recommendation engine
  • Implement innovative NLP solutions that understand context, intent, and nuance in hiring language
  • Design and implement robust data pipelines that can handle massive volumes of resume and job posting data
  • Build sophisticated entity resolution systems to normalize and deduplicate candidate profiles across multiple data sources
  • Create scalable data architectures that power real-time matching at scale
  • Collaborate directly with product team to translate business requirements into technical solutions
  • Own the end-to-end ML lifecycle from experimentation to production deployment
  • Continuously iterate on algorithms based on customer feedback and performance metrics
Desired Qualifications
  • Experience thriving in a fast-paced startup environment with autonomy and ownership
  • Data-driven mindset and intellectual curiosity
  • Strong sense of ownership; ability to work autonomously
  • Willingness to experiment and move quickly

SquarePeg runs an AI-powered job matching platform for job seekers and employers. It uses quick, data-driven assessments to build a candidate profile that goes beyond resumes, capturing workplace personality and unique traits. An algorithm analyzes hundreds of attributes to match candidates with suitable roles and companies, then delivers personalized JobFit reports to highlight where success is likely. Compared to traditional recruiting, SquarePeg differentiates itself by focusing on trait-based profiles and providing pre-screened, high-quality candidates, helping employers save time and improve hire quality. The goal is to improve hiring outcomes by increasing compatibility between candidates and roles, reducing time-to-fill for employers.

Company Size

11-50

Company Stage

Seed

Total Funding

$6.4M

Headquarters

New York City, New York

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • $3.5M seed funding from Next Frontier Capital accelerates AI platform development.
  • LLM technology targets mid-market companies for rapid applicant processing.
  • Focus on lean teams and non-technical roles builds strong product-market fit.

What critics are saying

  • SquarePeg VC brand confusion diverts 80-95% of searches to Australian firm.
  • Eightfold AI erodes mid-market share with $400M funding in 6-12 months.
  • EU AI Act mandates audits by August 2026, halting SquarePeg's expansion.

What makes SquarePeg unique

  • SquarePeg integrates AI screening, fraud detection, and rediscovery into any ATS.
  • Glass-box AI provides transparent applicant scoring using job requirements.
  • Fake applicant detection identifies VoIP phone numbers in applications.

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Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-8%

1 year growth

-4%

2 year growth

-4%
SquarePeg
Feb 5th, 2025
SquarePeg Announces Funding to Deliver New Candidate Evaluation Platform Built for the Modern Recruiter

$3.5M seed round to bring AI screening tools to lean recruiting teams

AIM Group
Feb 4th, 2025
SquarePeg secures $3.5M for AI tool

SquarePeg, a Utah-based talent acquisition company, has raised $3.5M in seed funding to develop AI candidate screening tools for recruiters. The funding will help build a product for mid-market companies, using LLM technology to score, evaluate, and process applicants quickly. The seed round was led by Next Frontier Capital, with participation from Acadian Ventures, Bread & Butter Ventures, and Silicon Road Ventures, along with existing investors. SquarePeg is testing the product with customers.

Sifted
Sep 11th, 2024
The DeepMind founder factory: Meet 13 employees-turned-founders

Almost all of DeepMind's founder alumni have — unsurprisingly — launched startups in the AI space since leaving the company.

intelligence360
Jul 12th, 2022
Dallas Texas Based Squarepeg Is Raising $2,944,997.00 In New Equity Investment.

Dallas, TX – According to filings with the U.S. Securities and Exchange Commission, SquarePeg is raising $2,944,997.00 in new funding. Sources indicate as part of senior management Chief Executive Officer, Claire Mctaggart played a key role in securing the recent investment and it will aid in aggressively expanding the company, as well as broaden and accelerate product development. About SquarePeg

INACTIVE