What is Spark MLlib and how common is it in AI job postings?

Spark MLlib is a skill in the "Frameworks & Tools" category. It currently appears in 147 active AI roles across 33 companies in our index.

Which companies are hiring for Spark MLlib?

The top employers with active AI roles mentioning Spark MLlib are: Amazon (77), Google (14), NVIDIA (12), Reddit (4), Walmart (3).

Is demand for Spark MLlib growing?

Over the last 12 weeks, 108 new AI postings mentioned Spark MLlib. Demand is rising — up 71% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Spark MLlib used?

Roles requiring Spark MLlib are concentrated in: application (31%), agents (31%), serving infrastructure (20%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Spark MLlib?

Job postings that mention Spark MLlib most often also require: Machine Learning, scikit-learn, TensorFlow, Distributed Systems, Spark.

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Spark MLlib

147 active AI roles across 33 companies mention Spark MLlib. Category: Frameworks & Tools.

Demand trend

New AI postings mentioning Spark MLlib per week — 108 total over 12 weeks.

Sector

All Big Tech · 95 Semiconductors · 15 Consumer · 7 Fintech · 5 Enterprise · 4 AI Frontier · 4 Retail · 3 Data AI · 3 Banking · 3 Vertical AI · 2 Robotics · 2 Hospitality · 2 Media · 1 Industrial · 1

Function

All Engineering · 119 Research · 26 Product · 2

Status

All Active only

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119 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Amazon	Sr. Applied Scientist, Private Brands Intelligence - SCIT Science	Big Tech	7	L6
Google	Applied AI Staff Software Engineer, Looker	Big Tech	7	L6
Amazon	Applied Scientist, Agentic Automated Reasoning	Big Tech	7	L4
Snap	Machine Learning Engineer, Level 4	Consumer	7	L6
Snap	Software Engineer, ML Infrastructure, Level 4	Consumer	7	L3
Stripe	Machine Learning Engineer, Capital Underwriting	Fintech	7	L6
Walmart	Distinguished, Data Scientist	Retail	7	L6
Plaid	Senior Machine Learning Engineer - Credit	Fintech	7	L3
Amazon	Senior Applied Scientist, Kuiper Data Science Platform	Big Tech	7	L4
Amazon	Senior Applied Scientist - SLAM and Perception, Amazon Robotics	Big Tech	7	L6
Snap	Machine Learning Engineer, Level 5	Consumer	7	L6
Google	Cloud AI Consultant II, Professional Services (English)	Big Tech	7	L6
Capital One	Principal Data Scientist - AI Foundations, Specialist Models	Banking	7	L4
Amazon	Sr. Applied Scientist, WWGS Real Estate & Store Development	Big Tech	7	L6
Expedia	Generative AI Creative Lead	Hospitality	7	L4
Workday	Software Development Engineer - ML Ops (US Federal)	Enterprise	7	L3
Amazon	Senior Applied Scientist, Ad Measurements Science	Big Tech	7	L6
Amazon	Senior Applied Scientist, Ad Measurements Science	Big Tech	7	L6
NVIDIA	Distinguished Software Architect - Deep Learning and HPC Communications	Semiconductors	7	L3
Amazon	Senior Applied Scientist, Full-funnel Agentic Intelligence and Models	Big Tech	7	L4
Amazon	Sr Applied Scientist, Digital Ads , Amazon Digital Advertising	Big Tech	7	L6
Visa	Senior Staff Engineer, AI Governance	Fintech	7	L5
Amazon	Senior Applied Scientist, JP Science and Data - AVS ProServe	Big Tech	7	L4
Amazon	Sr. Applied Scientist, Amazon Publisher Monetization - Ads	Big Tech	7	L4
Intel	AI Tools Development Intern	Semiconductors	7	L4
Amazon	Senior Applied Scientist, Insights, Prime Video	Big Tech	7	L6
Reddit	Senior Staff Software Engineer, Indexing & Retrieval Platform	Consumer	7	L3
Amazon	Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)	Big Tech	7	L6
Amazon	Applied Scientist, WWOS Tech	Big Tech	7	L4
Amazon	Senior Applied Scientist , Sponsored Products and Brands Ads Response Prediction	Big Tech	7	L6

Frequently asked questions

What is Spark MLlib and how common is it in AI job postings?
Spark MLlib is a skill in the "Frameworks & Tools" category. It currently appears in 147 active AI roles across 33 companies in our index.
Which companies are hiring for Spark MLlib?
The top employers with active AI roles mentioning Spark MLlib are: Amazon (77), Google (14), NVIDIA (12), Reddit (4), Walmart (3).
Is demand for Spark MLlib growing?
Over the last 12 weeks, 108 new AI postings mentioned Spark MLlib. Demand is rising — up 71% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Spark MLlib used?
Roles requiring Spark MLlib are concentrated in: application (31%), agents (31%), serving infrastructure (20%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Spark MLlib?
Job postings that mention Spark MLlib most often also require: Machine Learning, scikit-learn, TensorFlow, Distributed Systems, Spark.

Spark MLlib

Top employers

Often paired with

Demand trend

Frequently asked questions

Demand trend

Spark MLlib

Top employers

Often paired with

Frequently asked questions