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Machine Learning Roles in the US

Machine Learning and AI

Tags and Keywords

Nlp

Jobs

Learning

Machine

Career

Ai

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Machine Learning Roles in the US Dataset on Opendatabay data marketplace

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Free

About

This dataset provides a focused collection of 1,000 job postings for Machine Learning-related roles located across the United States. The data was gathered between late 2024 and early 2025, directly sourced from various company career pages and major job boards. It includes detailed job descriptions and associated company information, offering valuable insights into the current landscape of the machine learning job market.

Columns

  • job_posted_date: The date when the job advertisement was originally published (format: YYYY-MM-DD).
  • company_address_locality: The city or local area where the job is situated or where the company is based.
  • company_address_region: The specific U.S. state or larger region identifying the job's location.
  • company_name: The trading name of the organisation that posted the job vacancy.
  • company_website: The official web address for the company.
  • company_description: A concise overview or mission statement of the company.
  • job_description_text: The full and unedited text of the job description as it appeared in the initial posting.
  • seniority_level: The required professional experience level for the role, such as Internship, Entry level, or Mid-Senior.
  • job_title: The complete title given to the job vacancy.

Distribution

The dataset is typically provided in a CSV file format. It contains 1,000 individual job postings. Specific numbers for rows or records beyond this total are not available.

Usage

This dataset is ideal for:
  • Job Market Analysis: Gaining insights into trends in machine learning and AI job opportunities.
  • Career Planning: Helping job seekers understand required skills, roles, and companies in the ML field.
  • Recruitment Strategy: Assisting recruiters and HR professionals in benchmarking job requirements and compensation.
  • Academic Research: Supporting studies on labour market dynamics, skill demand, and geographical distribution of tech jobs.
  • Salary Benchmarking: Although not direct salary data, job descriptions often contain clues for salary expectations.

Coverage

The dataset's geographic scope covers various locations within the United States. The time range for data collection is between late 2024 and early 2025. No specific notes on data availability for particular demographic groups or years are provided.

License

CC-BY

Who Can Use It

  • Data Scientists: For market analysis and trend identification.
  • Machine Learning Engineers: For career insights and skill development.
  • Job Seekers: To discover relevant opportunities and prepare for applications.
  • Recruiters and Human Resources Professionals: For talent acquisition and market intelligence.
  • Market Researchers: To analyse industry demand and regional variations.
  • Students and Academics: For research projects and understanding the professional landscape.

Dataset Name Suggestions

  • US Machine Learning Job Postings
  • AI/ML Job Market USA
  • United States ML Career Data
  • Machine Learning Roles in the US

Attributes

Listing Stats

VIEWS

3

DOWNLOADS

0

LISTED

05/06/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free