Skill Demand Index
ML/AI Experience — Demand & Depth Analysis
Based on 1 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L1
Median Depth
100%
Gap Rate
1
Jobs Analyzed
Minimal
Most employers want ML/AI Experience at introductory awareness.
Overview
What is ML/AI Experience?
Market context for ML/AI Experience in the current job market
ML/AI Experience is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for ML/AI Experience typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for ML/AI Experience:
- •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L1 depth — foundational knowledge with practical application
- •Most demand comes from Other roles — 100% of all ML/AI Experience jobs
What L1 means in practice:
L1 (Minimal) means you can discuss the concept but haven’t used it in production. Many entry-level positions accept this.
This means employers aren't looking for someone who has used ML/AI Experience once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.
Common skill gaps:
The gap rate of 100% means most applicants lack ML/AI Experience at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need ML/AI Experience most:
Other positions drive 100% of demand. Skills commonly paired with ML/AI Experience include Client-Facing Skills and Project Management.
Depth Level Distribution
Proficiency Distribution
How candidates match ML/AI Experience requirements across 1 scored evaluations
Average depth: L1.0·Median depth: L1.0
Salary Correlation
Pay Impact
How ML/AI Experience affects compensation based on postings with disclosed salary data
Without ML/AI Experience
$139K
Median $130K
979 jobs
Skill Demand Insight
“ML/AI Experience appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside ML/AI Experience
Role Breakdown
Top Role Categories
Job categories most likely to require ML/AI Experience
Gap Analysis
Gap Rate Explained
How often ML/AI Experience is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When ML/AI Experience appears in a job's requirements, 100% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is ML/AI Experience in demand in 2026?
Yes. ML/AI Experience appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 1 analyzed jobs, demand is steady across multiple role types.
What level of ML/AI Experience do most jobs require?
The median required depth is L1. Many positions accept basic to intermediate proficiency.
Does knowing ML/AI Experience increase salary?
Salary data for ML/AI Experience is still accumulating.
What other skills pair with ML/AI Experience?
The most common pairings are Client-Facing Skills, Project Management, Python, TensorFlow / PyTorch, Recommender Systems, BERT, NCF. Strengthening these alongside ML/AI Experience improves your fit across more positions.
What roles need ML/AI Experience the most?
Top roles: Other. Other positions have the highest demand at 100% of all ML/AI Experience jobs.
How do I improve my ML/AI Experience level?
L1→L2: online courses and personal projects. L2→L3: daily professional use and shipped work. L3→L4: mentoring others and optimizing processes. L4→L5: architecture decisions, open source contributions, or published work.
See how you stack up against ML/AI Experience job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my ML/AI Experience gaps →See how your depth compares to what employers actually require
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