Skill Demand Index
Machine learning engineering — Demand & Depth Analysis
Based on 2 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L1
Median Depth
100%
Gap Rate
2
Jobs Analyzed
Minimal
Most employers want Machine learning engineering at introductory awareness.
Overview
What is Machine learning engineering?
Market context for Machine learning engineering in the current job market
Machine learning engineering is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Machine learning engineering typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Machine learning engineering:
- •Required in 0.1% 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 Software Engineering roles — 100% of all Machine learning engineering 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 engineering 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 engineering at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Machine learning engineering most:
Software Engineering positions drive 100% of demand. Skills commonly paired with Machine learning engineering include Bachelor's Degree and Early-stage startup experience.
Depth Level Distribution
Proficiency Distribution
How candidates match Machine learning engineering requirements across 2 scored evaluations
Average depth: L1.0·Median depth: L1.0
Salary Correlation
Pay Impact
How Machine learning engineering affects compensation based on postings with disclosed salary data
Without Machine learning engineering
$139K
Median $130K
979 jobs
Skill Demand Insight
“Machine learning engineering appears in 0.1% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Machine learning engineering
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
Role Breakdown
Top Role Categories
Job categories most likely to require Machine learning engineering
Gap Analysis
Gap Rate Explained
How often Machine learning engineering is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When Machine learning engineering appears in a job's requirements, 100% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Machine learning engineering in demand in 2026?
Yes. Machine learning engineering appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 2 analyzed jobs, demand is steady across multiple role types.
What level of Machine learning engineering do most jobs require?
The median required depth is L1. Many positions accept basic to intermediate proficiency.
Does knowing Machine learning engineering increase salary?
Salary data for Machine learning engineering is still accumulating.
What other skills pair with Machine learning engineering?
The most common pairings are Bachelor's Degree, Early-stage startup experience, Programming skills, SLMs (Small Language Models), TensorFlow, PyTorch, scikit-learn. Strengthening these alongside Machine learning engineering improves your fit across more positions.
What roles need Machine learning engineering the most?
Top roles: Software Engineering. Software Engineering positions have the highest demand at 100% of all Machine learning engineering jobs.
How do I improve my Machine learning engineering 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 engineering job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Machine learning engineering gaps →See how your depth compares to what employers actually require
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