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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13 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Senior AI Safety Red Teamer	Semiconductors	9	L5
NVIDIA	Senior Systems Software Engineer - Deep Learning Solutions	Semiconductors	9	L3
NVIDIA	Engineering Manager, Inference Benchmarking — AI Perf	Semiconductors	8	L3
NVIDIA	Senior Scientific Machine Learning Engineer – Earth-2	Semiconductors	8	L2
NVIDIA	Senior Deep Learning Scientist, Speech Synthesis	Semiconductors	8	L0
NVIDIA	Senior Software Engineer, JAX	Semiconductors	8	L3
NVIDIA	Engineering Manager - AI for RAN and 6G Wireless Systems	Semiconductors	8	L3
AMD	Staff/Principal Engineer - AI/ML & System-Level Validation	Semiconductors	7	L3
NVIDIA	Distinguished Software Architect - Deep Learning and HPC Communications	Semiconductors	7	L3
Intel	AI Tools Development Intern	Semiconductors	7	L4
NVIDIA	Senior Software Engineer, JAX	Semiconductors	7	L3
NVIDIA	Senior System Software Architect, AI and GPU Networking	Semiconductors	7	L3
Tenstorrent	Sr Engineer, Server Inference	Semiconductors	7	L3

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

Spark MLlib

Top employers

Often paired with

Demand trend

Frequently asked questions