For recruiters

Hire on what
matters to you.

Spell out what you need — Rigel writes the JD, scores real skills, and shows you what to sharpen next time.

Hiring is hard enough

We handle the parts that wear you down.

Rigel takes the friction out of writing roles, scoring candidates, defending decisions, and learning what to sharpen next — so the day goes to people, not paperwork.

01 — Agency

You set the weights.

Decide how much skills, experience, and education count for each job. The math reflects what the role actually needs — not a default someone else picked.

New Job

Create new job

Basic Information

Job Title*

Machine Learning Engineer

Location*

Mountain View, CA

Work Type*

Remote

Skills

Weight (%)

4045

Required

Python

BeginnerIntermediateAdvanced

PyTorch

Intermediate

Add required skill

Nice to have

Add nice-to-have skill

Experience

Weight (%)

Minimum Years

02▴▾

Target Years

35▴▾

Education

Weight (%)

Education Required?

Preferred Degrees

Associate

PhD

Other

Section Weights

Skills40%45%

Experience35%30%

Education25%

Total100%

Candidate Visibility

Candidates scoring below this threshold won't see this job listing.

60%

Tip

Skills typically carry the most weight for technical roles.

02 — Build

Spell out the role. We'll write the JD.

Pick the skills, experience, and education the role needs. Rigel turns your spec into a polished job description — accurate by construction, no technical drafting required.

AI EngineerPublished

Share this job

Generating description with AI…

**AI Engineer**

Acme is seeking a passionate and skilled AI Engineer to join our innovative team. In this full-time remote role, you'll architect and implement cutting-edge artificial intelligence solutions that drive our products and services forward.

As an AI Engineer, you will be instrumental in developing and deploying sophisticated machine learning models, working across the entire lifecycle from research and prototyping to production deployment.

**What You'll Do**

Design, develop, and deploy advanced AI/ML models and algorithms.
Leverage expertise in Large Language Models (LLMs) and NLP to build intelligent features.
Implement robust solutions using Python, PyTorch, and TensorFlow.
Collaborate with cross-functional teams to integrate AI capabilities into products.

**What We're Looking For**

Expand

RegenerateCopyDownload PDF

Apply Link

Paste this link into the “Apply” field when you post the job on LinkedIn or your careers page.

acme.com/jobs/f8e0fbdb-2cf1-4166-88e7-434e3b903b7c/quick-apply

Copy

03 — Transparency

Every score is traceable.

Click any candidate to see exactly what produced the score: matched skills, applied weights, and the arithmetic. The math treats every candidate the same — no opinions, no preferences, no bias.

AI EngineerPublished

178 applicants · 12 new today · last ranked 2h ago

#ScoreSkillsExpEduStatus

18792100100Shortlisted

28488100100Reviewing

37165100100Submitted

46237100100Submitted

5585280100Submitted

6412260100Submitted

Candidate #

Submitted

OVERALL62%

SCORE BREAKDOWN

Experience100 × 0.2525.0%

Skills37 × 0.6022.0%

Education100 × 0.1515.0%

how this is calculated

Overall = (Exp × 0.25) + (Skills × 0.60) + (EDU × 0.15)        = (100 × 0.25) + (37 × 0.60) + (100 × 0.15)        = 25.0 + 22.0 + 15.0 = 62%

ProfileExplanation

Candidate

New York, NY

Summary

Full-stack software engineer with 5 years building production web applications across both backend and frontend. Comfortable shipping features end-to-end: designing REST APIs in Python, integrating PostgreSQL, and building React/TypeScript interfaces on top of them. Pragmatic, collaborative, and deadline-oriented.

Skills

Python · intermediateJavaScript · intermediateTypeScript · intermediateSQL · intermediateHTML/CSS · intermediateFastAPI · intermediateNode.js · intermediateREST APIs · intermediateRelational Databases · intermediateReact · intermediateNext.js · intermediateRedux · intermediateTailwind CSS · intermediateDocker · intermediateGit · intermediateLinux Administration · intermediateCI/CD · intermediateFlask · intermediateExpress · intermediateRedis · intermediateAWS · intermediateAws Ec2 · intermediateGraphQL · intermediate

Experience

Senior Full-Stack Engineer

Mondler Apps Inc. · 2023-03-15 – Present

Built and maintained a customer-facing portal (React + TypeScript frontend, FastAPI backend) used by ~8,000 weekly active users. Designed and shipped REST endpoints in FastAPI with PostgreSQL, including pagination, filtering, and rate limiting. Implemented authentication and session management; integrated OAuth providers. Migrated three legacy Flask services to FastAPI; reduced average response time by ~30%. Wrote unit and integration tests in pytest and Jest; maintained ~80% coverage on new code.

Full-Stack Engineer

Central Perk Software · 2021-07-15 – 2023-02-15

Owned a feature team of 3; delivered a real-time chat module using Node.js and React. Built REST APIs in Node.js/Express backed by PostgreSQL; later helped port the same service to Python/FastAPI. Set up CI/CD with GitHub Actions and Docker; automated deploys to AWS EC2.

Software Engineer

Bing Solutions · 2020-08-15 – 2021-06-15

Contributed to a B2B dashboard product built with React and Redux on the frontend, Python/Flask on the backend. Wrote SQL migrations, optimized slow queries, and added Redis caching to high-traffic endpoints.

Education

Bachelor of Science in Computer Science · Computer Science

New York University · –

MATCHING DETAILS

What this candidate matched on each section.

Skills37%

Matched required

Python

Missing required

LLMNLPPythorchTensorflowprompt engineering

Matched nice-to-have

SQLAWS

Notes

Strong Python foundation but the core ML stack — Pythorch, Tensorflow, LLM, NLP, and prompt engineering — is unmatched. SQL and AWS partially offset on the nice-to-haves.

Experience100%

Candidate YoE

5.5

Target

Gap

3.5

Notes

5.5 years comfortably clears the 2-year minimum. Background is full-stack web rather than ML, mirroring the skills gap.

Education100%

Status

met

Required

bachelor

Candidate

Bachelors Computer Science from New York University

Notes

Bachelor of Science in Computer Science from NYU meets the bachelor's requirement.

Overall Assessment

Generalist engineer without production ML experience. Strong fit for ML-adjacent platform work, or for AI Engineer roles open to ramp time on the LLM stack.

04 — Truth

Verified profiles, not optimized CVs.

Every candidate reviews and confirms their parsed profile before matching. Rigel scores the verified profile, not the CV text. AI-gamification doesn't work here — by design.

Profile activity · Verified candidate

Edits in last 24h — all verified

EDITS / 24H

Tampering risk

Threshold

Low

TimeEditVerification

09:14Added certificate AWS Solutions Architect AssociateVerified

11:32Added experience Senior Engineer at TechCo · 2026-04-15Verified

13:08Confirmed skill Python via assessmentVerified

16:41Confirmed skill FastAPI via assessmentVerified

Profile activity · Suspect pattern

Edits in last 24h — most flagged as unverified

EDITS / 24H

Tampering risk

Threshold

High

TimeEditVerification

14:02Added skill PythorchUnverified

14:04Added skill LLM, NLPUnverified

14:07Changed years of experience 5 → 8Unverified

14:11Added skill Tensorflow, Prompt engineeringUnverified

14:18Changed education NYU, BS → Stanford, MSUnverified

14:24Added skill Computer VisionUnverified

05 — Learn

Every job teaches you something.

After your job goes live, see who's matching and where they fall short. Top scorers' shared strengths. Common skill gaps. Where your weights might be too tight or too loose. Use it to sharpen the next post.

Analytics

Understand how your jobs match reality

All Jobs

Active Jobs

+2 this month

Total Candidates

127

+34 this month

Avg Match Score

68.4

+3.2 vs last month

Avg Time to Fill

18d

-4d vs last month

Pipeline Funnel

Candidate progression across all jobs

Applied

Reviewed

Interviewed

Rejected

Offered

Hired

03570105140

Match Quality Distribution

How candidates score across your roles

015304560

0–1920–3940–5960–7980–100

Strong (80–100)Good (60–79)Moderate (40–59)Weak (0–39)

Skills Gap Analysis

Most commonly missing required skills — shows where to relax requirements or focus sourcing

Kubernetes

22%

78%

GraphQL

38%

62%

Terraform

45%

55%

TypeScript

69%

31%

Python

92%

SQL

95%

Candidates have skillCandidates missing skill

Score Breakdown by Section

Average scores per dimension — reveals which area candidates struggle with

0255075100

Sr Data EngML EngineerBackend EngData AnalystJr Python Dev

SkillsExperienceEducation

Job Performance

Comparative view across all your roles

Job Title	Candidates	Avg Score	Top Score	Days Open	Status
Senior Data Engineer	34	71.2	94	12	Published
ML Engineer	28	62.8	88	18	Published
Backend Engineer	41	74.5	96	8	Published
Data Analyst	16	69.1	85	24	Published
Jr Python Developer	8	58.3	79	5	Draft

Try it on your next role.

Post a job. See ranked candidates with full, explainable scores.

Hire on whatmatters to you.

We handle the parts that wear you down.

You set the weights.

Create new job

Candidate Visibility

Spell out the role. We'll write the JD.

Every score is traceable.

Verified profiles, not optimized CVs.

Every job teaches you something.

Try it on your next role.

Hire on what
matters to you.