Scale AI: 28 open roles — San Francisco, USA

About Scale AI

Scale AI builds the data engine for AI: training data, evaluations, and full-stack AI applications for enterprises and governments.

People & hiring

Company scale, with the denominator visible

Employee figures and vacancy signals describe different things. Each chart names its scope and observation period.

No sourced employee headcount or technical-staff share is available for this company yet. Vacancy counts below are never used as employee estimates.

ApplyDjinn hiring evidence · current 30-day window

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Current open roles

28+1

Change versus 2026-10-07.

Technical open roles

1761%

Classified from the same current vacancies. This is a hiring mix, not the employee mix.

28

Current openings · ≤30 days

186 older active postings

2016

Founded

—

Rating

Live vacancy evidence

Technology coverage at Scale AI

Coverage always uses all 28 active roles as the denominator. Scope only changes which requirement signals count.

Active roles: 28
Technologies: 40
Hard mentions: 69

AI

28 of 28 roles

100%

Core: 11%
Required: 32%
Context: 43%
Nice: 14%

Full Stack

28 of 28 roles

100%

Core: 4%
Required: 29%
Context: 54%
Nice: 14%

GenAI

8 of 28 roles

29%

Core: 38%
Required: 13%
Context: 50%
Nice: 0%

Python

9 of 28 roles

32%

Core: 0%
Required: 67%
Context: 33%
Nice: 0%

React.js

6 of 28 roles

21%

Core: 0%
Required: 100%
Context: 0%
Nice: 0%

TypeScript

8 of 28 roles

29%

Core: 0%
Required: 63%
Context: 38%
Nice: 0%

Statistics

6 of 28 roles

21%

Core: 0%
Required: 83%
Context: 17%
Nice: 0%

MongoDB

5 of 28 roles

18%

Core: 0%
Required: 100%
Context: 0%
Nice: 0%

Spring

5 of 28 roles

18%

Core: 0%
Required: 100%
Context: 0%
Nice: 0%

Machine Learning

13 of 28 roles

46%

Core: 8%
Required: 8%
Context: 85%
Nice: 0%

Backend

6 of 28 roles

21%

Core: 0%
Required: 33%
Context: 50%
Nice: 17%

Cloud

8 of 28 roles

29%

Core: 0%
Required: 13%
Context: 75%
Nice: 13%

AWS

7 of 28 roles

25%

Core: 0%
Required: 14%
Context: 71%
Nice: 14%

Distributed Systems

5 of 28 roles

18%

Core: 0%
Required: 20%
Context: 80%
Nice: 0%

GCP

5 of 28 roles

18%

Core: 0%
Required: 20%
Context: 60%
Nice: 20%

Kubernetes

5 of 28 roles

18%

Core: 0%
Required: 20%
Context: 60%
Nice: 20%

Azure

4 of 28 roles

14%

Core: 0%
Required: 25%
Context: 50%
Nice: 25%

Frontend

4 of 28 roles

14%

Core: 0%
Required: 25%
Context: 50%
Nice: 25%

Node.js

1 of 28 roles

4%

Core: 0%
Required: 100%
Context: 0%
Nice: 0%

AI Agents

6 of 28 roles

21%

Core: 0%
Required: 0%
Context: 83%
Nice: 17%

LLM Agents

6 of 28 roles

21%

Core: 0%
Required: 0%
Context: 17%
Nice: 83%

Algorithms

5 of 28 roles

18%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Reliability Engineering

5 of 28 roles

18%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Scalability

5 of 28 roles

18%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Docker

4 of 28 roles

14%

Core: 0%
Required: 0%
Context: 75%
Nice: 25%

SQL

4 of 28 roles

14%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

RAG

3 of 28 roles

11%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Salesforce

3 of 28 roles

11%

Core: 0%
Required: 0%
Context: 67%
Nice: 33%

Snowflake

3 of 28 roles

11%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Software Architecture

3 of 28 roles

11%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

API

2 of 28 roles

7%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Automation

2 of 28 roles

7%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Cloud Native

2 of 28 roles

7%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Computer Vision

2 of 28 roles

7%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Databases

2 of 28 roles

7%

Core: 0%
Required: 0%
Context: 50%
Nice: 50%

Databricks

2 of 28 roles

7%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

LLM

2 of 28 roles

7%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Terraform

2 of 28 roles

7%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

CI/CD

1 of 28 roles

4%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Confluence

1 of 28 roles

4%

Core: 0%
Required: 0%
Context: 100%
Nice: 0%

Curated company stack

Company-level metadata, kept separate from live vacancy requirements.

PythonMachine LearningAWSKubernetesReactTypeScript

Perks & Benefits

✓Global impact

✓Career growth

✓Benefits

✓Modern stack

Company Details

Industry

AI / Data Infrastructure

Company size

1000+

Headquarters

San Francisco, USA

Founded

2016

Domain

scale.com

Rating

—

Open roles

28

Technical roles

17 of 28

Observed hiring change

+16 roles

Hiring and market history

Daily vacancy snapshots show this company’s observed hiring; no standalone public ticker is assigned.

Open roles

Vacancy history

Current role mix

17 technical · 11 other

61% of currently observed roles are technical.

Employee perspectives

Reviews of Scale AI

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Company monitor

Published about Scale AI

Official updates and independent stories that name Scale AI, with dates and source attribution. Each preview opens here first.

3 verified updatesOfficial feed not verified

View news and attention signals for Scale AI →

Official · fundguard.comSep 25, 2026

TDFM New York Roundtable: What It Takes to Scale AI in Investment Operations

There is no shortage of conversation about what AI might do for investment firms. At a roundtable we hosted this week at TDFM New York, we were more interested in what has to happen before firms can put it to work at scale. We brought together senior technology, data and operations leaders from across investment […] The post TDFM New York Roundtable: W

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Official · aidoc.comSep 1, 2026

How Leading Health Systems Scale AI Across Service Lines

Many health systems already have some level of AI in place. But oftentimes, the existing AI tools are fragmented — creating more silos, more vendors, more integration work, and more burden than value. To truly scale clinical AI, health systems need to focus on systemwide standardization, including infrastructure, workflow integration, governance, training, a

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Official · investors.epam.comJun 30, 2026

EPAM Awarded 2026 Databricks Consulting and Systems Integrator AI Partner of the Year for Helping Enterprises Scale AI into Measurable Business Impact

EPAM Systems, Inc. (NYSE: EPAM) has been recognized as the 2026 Databricks Consulting & Systems Integrator AI Partner of the Year. Presented at the annual Data + AI Summit, the recognition underscores EPAM's collaboration with Databricks and its role in helping enterprise organizations advance data, analytics and AI transformation at scale. Learn more about…

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