Current Landscape of AI Jobs in the US: Geo Distribution, Roles, Salaries, and Required Skills

The report offers an overview of open AI/ML engineering open positions in the US. It details the distribution of these open jobs by sector, job types, salary, required skills, roles and major tech companies.

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The Expanding Landscape of AI/ML Engineering Jobs in the US: Insights from AIM Research

The demand for AI and Machine Learning (ML) engineers continues to soar. The latest report, “Open Jobs for AI/ML Engineers in the US” by AIM Research, provides a detailed analysis of the current job market for these highly skilled professionals as of July 2024. This comprehensive study covers various aspects, including sector distribution, job types, salary ranges, required skills, roles, and major tech companies. It also highlights trends in remote, hybrid, and on-site job preferences and provides insights into attrition rates based on experience levels and sectors.

Sector Distribution

The technology sector emerges as the dominant force, accounting for a staggering 60.5% of AI and 48.7% of ML job openings. This dominance is driven by the sector’s critical need for software development, cloud computing, cybersecurity, and data analysis capabilities. AI and ML engineers in this sector are at the forefront of innovation, developing cutting-edge solutions that drive business growth and efficiency.

Job Types

The report reveals a diverse distribution of job types, reflecting the varying needs and preferences of employers and employees alike:

  • On-site Jobs: Representing 60.4% of job openings, these roles are essential for positions requiring face-to-face collaboration and access to specialized resources. On-site jobs are particularly prevalent in sectors where physical presence is crucial for team synergy and access to proprietary equipment.
  • Remote Jobs: Comprising 22.5% of job openings, remote roles underscore the growing trend towards flexible work arrangements. The ability to work remotely has become increasingly important for attracting top talent, offering professionals the flexibility to balance work and personal commitments.
  • Hybrid Jobs: At 17.1%, hybrid jobs offer a balance between remote and on-site work. This model caters to employees seeking flexibility while maintaining periodic in-person interactions for collaboration and team building.

 

Key Skills and Roles

The report identifies a high demand for skills in data analysis, predictive modeling, and user experience improvements. AI/ML engineers are pivotal in building systems that process and analyze large datasets, providing actionable insights that support business strategies. These roles require a blend of technical expertise and strategic thinking, as engineers must develop algorithms and models that drive innovation and efficiency.

Geographical Distribution

Major tech cities such as San Francisco, New York, and Seattle boast the highest concentration of job openings for AI/ML engineers. These hubs are known for their vibrant tech ecosystems, offering abundant opportunities for professionals to engage in groundbreaking projects and collaborate with industry leaders.

Table of Contents

  1. Open Jobs for AI/ML Engineers by Sector and Job Type
  2. Salary Breakdown of Open Jobs for AI/ML Engineers
  3. Open Jobs of AI/ML Engineers by Key Skills and Job Roles
  4. AI/ML Engineering Open Jobs by Major Cities in the US
  5. AI/ML Engineering Open Jobs by Top Tech Companies

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