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deep learning frameworks jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, deep learning frameworks appears in 127 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning deep learning frameworks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
127
Top role · 7.9% of skill postings
Machine Learning Engineer
Top hiring metro
San Francisco

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Frequently asked questions about deep learning frameworks

+Is deep learning frameworks in demand in 2026?

Yes. deep learning frameworks appears in 127 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Machine Learning Engineer accounts for the most postings mentioning deep learning frameworks (7.9% of all postings mentioning deep learning frameworks).

+What jobs require deep learning frameworks?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning deep learning frameworks are AI/ML Scientist (13.0% of that role’s postings mention deep learning frameworks), ML Infrastructure Engineer (6.2% of that role’s postings mention deep learning frameworks), Research Intern (5.3% of that role’s postings mention deep learning frameworks).

+What skills are commonly paired with deep learning frameworks?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), deep learning frameworks most often appears alongside Python, PyTorch, TensorFlow, machine learning, C++.

+Where is deep learning frameworks most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring deep learning frameworks are San Francisco, London, Mountain View, Palo Alto, Santa Clara, according to the Skillenai jobs index.

+How can I keep up with new deep learning frameworks content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning deep learning frameworks alongside the jobs index. You can subscribe to a daily email digest of new deep learning frameworks content from your Skillenai account.

+Which skills come before and after deep learning frameworks?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring deep learning frameworks — last 90 days

Career paths around deep learning frameworks

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before deep learning frameworks

Before deep learning frameworksNLP → deep learning frameworks: 3 observed employer moves with this skill pairpython → deep learning frameworks: 3 observed employer moves with this skill pairscikit-learn → deep learning frameworks: 2 observed employer moves with this skill pairimage recognition → deep learning frameworks: 2 observed employer moves with this skill pairdata cleaning → deep learning frameworks: 2 observed employer moves with this skill pairApache Spark → deep learning frameworks: 2 observed employer moves with this skill pairlinear regression → deep learning frameworks: 2 observed employer moves with this skill pairfeature engineering → deep learning frameworks: 2 observed employer moves with this skill pairdeep learningframeworksNLP: 3 movesNLP3 movespython: 3 movespython3 movesscikit-learn: 2 movesscikit-learn2 movesimage recognition: 2 movesimage recognition2 movesdata cleaning: 2 movesdata cleaning2 movesApache Spark: 2 movesApache Spark2 moveslinear regression: 2 moveslinear regression2 movesfeature engineering: 2 movesfeatureengineering2 moves

Skills after deep learning frameworks

After deep learning frameworksdeep learning frameworks → GenAI: 1 observed employer moves with this skill pairdeep learning frameworks → ci/cd: 1 observed employer moves with this skill pairdeep learning frameworks → predictive analytics: 1 observed employer moves with this skill pairdeep learning frameworks → RAG pipeline: 1 observed employer moves with this skill pairdeep learning frameworks → AWS Lambda: 1 observed employer moves with this skill pairdeep learning frameworks → care gap prediction: 1 observed employer moves with this skill pairdeep learning frameworks → GPT embeddings: 1 observed employer moves with this skill pairdeep learning frameworks → AWS Glue: 1 observed employer moves with this skill pairdeep learningframeworksGenAI: 1 movesGenAI1 movesci/cd: 1 movesci/cd1 movespredictive analytics: 1 movespredictiveanalytics1 movesRAG pipeline: 1 movesRAG pipeline1 movesAWS Lambda: 1 movesAWS Lambda1 movescare gap prediction: 1 movescare gapprediction1 movesGPT embeddings: 1 movesGPT embeddings1 movesAWS Glue: 1 movesAWS Glue1 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: NLP3
Before: python3
Before: scikit-learn2
Before: image recognition2
Before: data cleaning2
Before: Apache Spark2
Before: linear regression2
Before: feature engineering2
After: GenAI1
After: ci/cd1
After: predictive analytics1
After: RAG pipeline1
After: AWS Lambda1
After: care gap prediction1
After: GPT embeddings1
After: AWS Glue1

Roles most likely to require deep learning frameworks

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
AI/ML Scientist313.0%
ML Infrastructure Engineer36.2%
Research Intern35.3%
Postdoctoral Researcher14.8%
AI Research Intern14.2%
AI / ML Engineer23.9%
AI Scientist33.4%
Researcher23.2%
Deep Learning Engineer13.0%
Algorithm Engineer12.9%

Roles with the most deep learning frameworks postings

RolePostings mentioning skillShare of skill postings
Machine Learning Engineer107.9%
ML Engineer86.3%
Solutions Architect86.3%
Research Engineer75.5%
Research Scientist75.5%
Data Scientist53.9%
MLOps Engineer53.9%
AI Engineer32.4%
AI Scientist32.4%
AI/ML Scientist32.4%

Top companies posting jobs requiring deep learning frameworks

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring deep learning frameworks
CompanyPostings · 90 days
NVIDIA19
Waymo6
Accenture5
Meta4
Tencent3
Vanguard3
Faculty2
Novartis2
XPeng2
Anthropic2

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for deep learning frameworks

NamePostingsShare
San Francisco86.3%
London64.7%
Mountain View43.1%
Palo Alto43.1%
Santa Clara32.4%
Seattle32.4%
Toronto32.4%
Bengaluru21.6%
Berlin21.6%

Skills commonly paired with deep learning frameworks

Python (85)PyTorch (75)TensorFlow (44)machine learning (39)C++ (31)Reinforcement learning (24)JAX (22)Kubernetes (20)CUDA (19)large language models (17)

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning deep learning frameworks by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s deep learning frameworks postings by all deep learning frameworks postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.

source
Skillenai jobs index, deduplicated daily
entity_id
6f9665a02f9e08a1
data_as_of
2026-09-30
window_days
90
Hiring engineers who use deep learning frameworks?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index