"The AI Jobs Companies Are Fighting Over in 2025"

" The AI Jobs Companies Are Fighting Over in 2025 \r\n\r\n \r\n The CEO of Icon recently offered a\u00a0 $50K \u00a0referral bonus to anyone who could help find the top 0.1% AI engineers, highlighting just how valuable this specialty has become. To identify\u00a0 the most in-demand AI roles, \u00a0 Yijin Hardware \u00a0examined a combination of key factors, including salary, hiring activity, growth, and visibility. The average base salary reveals how much companies are willing to invest in a skill, while job postings indicate where demand is strongest. Meanwhile, annual growth rates show how quickly interest in these roles is rising, and search volume reflects how much interest they\u2019re generating. Time to hire reflects how quickly employers fill these positions, with shorter times pointing to greater urgency. By combining these metrics into a single score ranging from 1 to 99, the study highlights which AI roles offer the greatest value and opportunity heading into 2025. \r\n \r\n Here is the summary of the findings: \r\n \r\n \r\n \r\n Role Type \r\n Average Base Salary (USD) \r\n # of Job Postings \r\n Annual Job Growth Rate \r\n Search Volume \r\n Average Time to Hire (days) \r\n Final Score \r\n \r\n \r\n Data Scientist \r\n 117K \r\n 11K \r\n 36% \r\n 1.8M \r\n 44 \r\n 99 \r\n \r\n \r\n Data Engineer \r\n 109K \r\n 23.3K \r\n 34% \r\n 368K \r\n 44 \r\n 80 \r\n \r\n \r\n AI Solutions Architect \r\n 166K \r\n 2.3K \r\n 35% \r\n 3.25K \r\n 44 \r\n 66 \r\n \r\n \r\n AI Product Manager \r\n 128K \r\n 5.5K \r\n 34% \r\n 32.6K \r\n 23 \r\n 65 \r\n \r\n \r\n Machine Learning Engineer \r\n 123K \r\n 6.1K \r\n 36% \r\n 80.7K \r\n 45 \r\n 51 \r\n \r\n \r\n AI Consultant \r\n 136K \r\n 1.4K \r\n 34% \r\n 111K \r\n 44 \r\n 48 \r\n \r\n \r\n AI Research Scientist \r\n 146K \r\n 1.4K \r\n 31% \r\n 24K \r\n 48 \r\n 45 \r\n \r\n \r\n MLOps Engineer \r\n 126K \r\n 124 \r\n 40% \r\n 4.4K \r\n 44 \r\n 44 \r\n \r\n \r\n Robotics Engineer \r\n 111K \r\n 2K \r\n 18% \r\n 209.1K \r\n 29 \r\n 32 \r\n \r\n \r\n Reinforcement Learning Engineer \r\n 106K \r\n 1.8K \r\n 36% \r\n 1K \r\n 45 \r\n 31 \r\n \r\n \r\n \r\n You can find the full research findings by following\u00a0<a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/e\/2PACX-1vS6K6TnEP4Kvv0VbLPg-1Ehs677lXR3vqn51Nhe0sDn8CsZCq4NeRstmy4-1anY7ccDeq-7rcSzkeUw\/pubhtml\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/docs.google.com\/spreadsheets\/d\/e\/2PACX-1vS6K6TnEP4Kvv0VbLPg-1Ehs677lXR3vqn51Nhe0sDn8CsZCq4NeRstmy4-1anY7ccDeq-7rcSzkeUw\/pubhtml&source=gmail&ust=1753555296913000&usg=AOvVaw3ykq9gxG6doejNFqsDRpK-\">this link. \r\n \r\n Data scientists \u00a0are the most in-demand AI talent with a composite score of\u00a0 99. \u00a0The average base salary reaches upwards of\u00a0 $117K \u00a0a year, and with\u00a0 11K job postings , many are looking to hire. This talent is also the most looked for online, with the most searches in this list, triple any other sector, at\u00a0 1.8M \u00a0searches. \r\n \r\n Data engineers \u00a0come in second as the most demanded talent, with the lowest barrier to entry. Double any other specialty, data engineering sees the highest number of job openings at\u00a0 23.3K . This is further supported by a high search interest of\u00a0 268K , the second highest among all roles, contributing to its final score of\u00a0 80. \r\n \r\n AI solutions Architects rank third \u00a0with a total demand score of\u00a0 66. \u00a0This talent is needed greatly, with employers paying upwards of\u00a0 $166K \u00a0a year for starting positions. The highest pay in the list, combined with a high\u00a0 growth rate of 35% \u00a0makes this skill one of the most popular among employers. \r\n \r\n AI product managers \u00a0come in\u00a0 fourth , reflecting strong demand with the shortest hiring time of any role. On average, the position is filled in just\u00a0 23 days , showing how urgently employers are looking for this talent. It also offers strong compensation, with a\u00a0 base salary \u00a0of\u00a0 $128K \u00a0per year. \r\n \r\n Machine learning engineering \u00a0rounds out the top\u00a0 five \u00a0most in-demand AI roles. Interest has grown by\u00a0 36% \u00a0over the past year, as more companies look to move their AI projects from testing to production. With an average salary of\u00a0 $123K, \u00a0it\u2019s a role that\u2019s not only growing fast but also pays well. Altogether, it earns a final score of\u00a0 51 . \r\n \r\n AI consultants \u00a0follow closely with a composite score of\u00a0 48 . They rank among the best-paid AI professionals, with an average salary of\u00a0 $136K , the third highest on the list. Demand for this role mirrors that of AI managers, with both seeing a\u00a0 36% \u00a0increase in job growth over the past year. \r\n \r\n AI research scientists \u00a0come in\u00a0 seventh \u00a0as the most sought-after talent in the AI world. These professionals are searched for\u00a0 24K \u00a0times, and see a high overall yearly growth rate. They\u2019re among the most highly paid, with compensation starting from\u00a0 $146K , second only to AI solutions architects. \r\n \r\n MLOps engineers \u00a0take\u00a0 eighth \u00a0place with a total demand score of\u00a0 44 . Interest in this role has grown faster and higher than any other on the list, with demand nearly\u00a0 doubling \u00a0in the past year as companies look to fill these positions. Its urgency is further reflected in an average base salary of\u00a0 $126K. \r\n \r\n Robotics engineers \u00a0rank\u00a0 ninth , following with a demand score of\u00a0 32 . These engineering positions are searched for\u00a0 209K times, \u00a0and with such high interest, hiring takes just\u00a0 29 days . This hiring need is also reflected in employee compensation, with an average salary of\u00a0 $111K \u00a0a year. \r\n \r\n Reinforcement learning engineers \u00a0finish off the list of the top-demanding AI talents. With a growth rate of\u00a0 36% , these engineers are advancing at the same rate as Data scientists, which fills the number one spot. Combined with its accessibility, reinforcement learning engineers earn a final demand score of\u00a0 31. \r\n \r\n Gavin Yi, the CEO of\u00a0 Yijin Hardware , recently commented, \u201cThis study highlights just how fast AI talent needs are evolving across different roles. It\u2019s clear companies are competing fiercely to find skilled professionals who can drive their AI projects forward. Beyond salary, the speed of hiring shows how urgent the demand really is. Understanding these trends helps organizations plan better and stay ahead in a rapidly changing market.\u201d \r\n "

"The AI Jobs Companies Are Fighting Over in 2025"

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