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	Senior Applied Scientist, AGI Customization	Big Tech	9	L2
CrowdStrike	Sr. Data Scientist (Hybrid)	Enterprise	9	L4
Amazon	Senior Applied Scientist, Selling Partner Support Engagement	Big Tech	9	L4
NVIDIA	Senior AI Safety Red Teamer	Semiconductors	9	L5
Amazon	Senior Applied Scientist, Funnel Agentic Intel	Big Tech	9	L4
Amazon	Sr. Applied Scientist, Applied AI Solutions	Big Tech	9	L4
Mistral AI	AI Engineer, Product	AI Frontier	9	L4
NVIDIA	Senior Systems Software Engineer - Deep Learning Solutions	Semiconductors	9	L3
Databricks	Staff Software Engineer - GenAI Performance and Kernel	Data AI	9	L3
Reddit	Staff Machine Learning Engineer, ML Efficiency	Consumer	8	L3
Amazon	Applied Scientist III- Recruiting AI Agents, Recruiting Agents & Candidate Voice	Big Tech	8	L4
Cognite	Principal ML Engineer	Industrial	8	L3
Amazon	Software Development Manager, AWS Neuron SDK - Distributed Training	Big Tech	8	L2
Google	Staff Software Engineer, Agentic AI, Trust and Safety	Big Tech	8	L4
Google	Senior Software Engineer, AI/ML, Google Meet	Big Tech	8	L2
Google	Senior Software Developer, AI/ML, Conversational Insights	Big Tech	8	L4
Amazon	Senior Applied Scientist , Buyer Risk Prevention (BRP)	Big Tech	8	L6
Amazon	Senior Applied Scientist, Last Mile Delivery	Big Tech	8	L4
Google	Senior Staff Software Engineer, AI/ML, Security	Big Tech	8	L4
NVIDIA	Engineering Manager, Inference Benchmarking — AI Perf	Semiconductors	8	L3
Amazon	Senior Applied Scientist, Sponsored Products and Brands	Big Tech	8	L6
Amazon	Sr. Applied Scientist, Alexa Excellence AI Ops, Alexa Excellence AI Ops	Big Tech	8	L4
Amazon	Senior Applied Scientist, Alexa Ads	Big Tech	8	L6
JPMorgan Chase	Senior Lead Security Engineer, AI	Banking	8	L4
Amazon	Senior Applied Scientist, AWS Security	Big Tech	8	L4
Sumo Logic	Senior Machine Learning Engineer	Enterprise	8	L4
NVIDIA	Senior Scientific Machine Learning Engineer – Earth-2	Semiconductors	8	L2
Amazon	Sr. Applied Scientist, Prime Video - Personalization and Discovery Science	Big Tech	8	L6
NVIDIA	Senior Deep Learning Scientist, Speech Synthesis	Semiconductors	8	L0
Amazon	Senior Applied Scientist, FinTelligence	Big Tech	8	L4

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