Skill Demand Index
Machine Learning and Deep Learning — 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 Machine Learning and Deep Learning at introductory awareness.
Overview
What is Machine Learning and Deep Learning?
Market context for Machine Learning and Deep Learning in the current job market
Machine Learning and Deep Learning is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Machine Learning and Deep Learning typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Machine Learning and Deep Learning:
- •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 Data Science / ML roles — 100% of all Machine Learning and Deep Learning 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 Machine Learning and Deep Learning 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 Machine Learning and Deep Learning at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Machine Learning and Deep Learning most:
Data Science / ML positions drive 100% of demand. Skills commonly paired with Machine Learning and Deep Learning include BS/BA in science or engineering and Data Science and Statistical Learning.
Depth Level Distribution
Proficiency Distribution
How candidates match Machine Learning and Deep Learning requirements across 1 scored evaluations
Average depth: L1.0·Median depth: L1.0
Salary Correlation
Pay Impact
How Machine Learning and Deep Learning affects compensation based on postings with disclosed salary data
Without Machine Learning and Deep Learning
$139K
Median $130K
979 jobs
Skill Demand Insight
“Machine Learning and Deep Learning appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Machine Learning and Deep Learning
Role Breakdown
Top Role Categories
Job categories most likely to require Machine Learning and Deep Learning
Gap Analysis
Gap Rate Explained
How often Machine Learning and Deep Learning is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When Machine Learning and Deep Learning appears in a job's requirements, 100% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Machine Learning and Deep Learning in demand in 2026?
Yes. Machine Learning and Deep Learning 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 Machine Learning and Deep Learning do most jobs require?
The median required depth is L1. Many positions accept basic to intermediate proficiency.
Does knowing Machine Learning and Deep Learning increase salary?
Salary data for Machine Learning and Deep Learning is still accumulating.
What other skills pair with Machine Learning and Deep Learning?
The most common pairings are BS/BA in science or engineering, Data Science and Statistical Learning, Translating research into deployable solutions, Scientific Computing and Software Systems, AI Assurance, Security, & Evaluation. Strengthening these alongside Machine Learning and Deep Learning improves your fit across more positions.
What roles need Machine Learning and Deep Learning the most?
Top roles: Data Science / ML. Data Science / ML positions have the highest demand at 100% of all Machine Learning and Deep Learning jobs.
How do I improve my Machine Learning and Deep Learning 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 Machine Learning and Deep Learning job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Machine Learning and Deep Learning gaps →See how your depth compares to what employers actually require
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