Tech giants pay talent millions of dollars
Mark Zuckerberg, Meta CEO, presented a 100 million dollar signature bonus to the best Openai employees.
David Paul Morris | Bloomberg | Getty Images
Artificial intelligence weapons are warming up and technology giants begin to peak, while the AI talent war, they hang millions of dollars in front of a small talent pool.
Meta sees that big technology companies such as Microsoft and Google compete for the best AI researchers to support artificial intelligence departments and dominate billions of dollars.
Meta CEO Mark Zuckerberg has recently launched an expensive recruitment madness to support the company’s new AI super -laboratory. This included Alexander Wang, the founding partner of the illegal hunting scale as a part of an investment of $ 14 billion for entrepreneurship.
In the meantime, Openai’s General Manager Sam Altman, Meta CEO’s 100 million dollar signature bonuses and even higher compensation packages are trying to attract the best Openai talent, he said.
If I’m going to spend a billion dollars [AI] The model is a relatively low investment for an engineer for $ 10 million.
Alexandru voica
Head of Corporate Affairs and Policy in Synthesia
Google is also a player, the founding partner and CEO of a player in the Talent War, the attractive intelligence coding Startup Windsurf, Varun Mohan, with a $ 2.4 billion agreement with Google Deepmind. Meanwhile, Microsoft AI hired two dozen Google Deepmind employee quietly.
“There was an intense competition for talent even 15 years ago, but as artificial intelligence became more and more talented, the researchers and engineers specialized in this field remained relatively stable,” AI video platform Synthesia, the President of the AI video platform, said.
“You have this supply and demand situation where demand is increasing rapidly, but the supply was relatively fixed and as a result. [wage] “An old commodity worker and currently a consultant at Mohamed bin Zayed Artificial Intelligence University,” inflation added.
Voica said that millions of dollars of compensation packages are a phenomenon that the industry “has never seen before”.
Here are the ones behind the AI Talent War:
Creating AI models billions of costs
Inflated salaries for experts come hand in hand with a billion dollar price labels of AI models-technology behind your favorite AI products such as Chatgpt.
There are different AI companies. Some of them produce products such as Synthesia, Cohere, Replika and Cute; Openai, anthropic, Google and commodity, including others create and train large language models.
“There is only one handful of companies that can afford to build such models.” He said. Very capital is intense. You need to spend billions of dollars, and many companies do not have billions of dollars to spend to build a model. And as a result, these companies are approaching it: ‘If I’m going to spend a billion dollars to create a model, 10 million dollars for an engineer relatively low investment.’ ‘
Anthropic CEO Dario Amodei said he was waiting for Time Magazine in 2024. Education Frontier AI Models To be $ 1 billion that year.
Stanford University’s AI Institute recently An estimated cost of the building selection AI Models Between 2019 and 2024. Openai’s GPT-4 was built in 2023, while Google’s ship was $ 1.0 ultra $ 192 million. Meta’s Llama cost 170 million dollars to be built in 2024, 3.1-405b.
“Companies that build products are paying to use and build on them, so capital expenditure is lower and there is not much pressure to burn money.” He said. “In terms of salary, things are very hot, the companies that make up models.”
AI experts are requested
The average salary for a machine learning engineer in the United States is really $ 175,000 per data per data.
Pixelonestocker | Moment | Getty Images
Machine learning engineers are AI professionals who can build and educate these large language models, and Ben Litvinoff, the assistant director of technology recruitment company Robert Walters, said that it is high on both sides of the Atlantic.
“There is a heavy increase in both AI -oriented analytical and especially in terms of machine learning, so large language models and GPT -supported or more advanced AI -guided technologies or solutions.”
This includes AI research scientists who have completed their doctoral doctorals at the top five or six universities in the world as well as the “Pool of Thin Pool” of experienced experts working in the sector for years.
It leads to Mega payment packages with Zuckerberg. Presenting $ 250 million 24 -year -old AI Harasi Matt Deitke, who left a computer science doctoral program at the University of Washington.
Meta directed CNBC to Zuckerberg’s comments, and said the Facebook founder was “absolute premium” for the best skills.
Zuckerberg Technology broadcast, “reported many features are not towards their own. But a very hot market. I mean, as you know, the best, there are few researchers who are in demand from all different laboratories.”
“The amount spent to hire people is still quite small when you talk about general investment and super intelligence.”
In the London market, Litvinoff estimated that machine learning engineers and main engineers have now gained a six -digit salary ranging from £ 140,000 to £ 140,000 for average higher level roles.
In the US, the average salary for a machine learning engineer is $ 175,000 and reaches about $ 300,000 at a higher end. Indeed.
Beginners and traditional industries are left behind
As the technology giants continue to increase the best minds in AI with the charm of mammoth salaries, initiatives have a risk of remaining behind.
“Some of these initiatives that try to compete in this field of these building models are difficult to see a way for them, because it is very expensive to build models, but the companies that buy these models will pay the price of the building covering the cost of the building.”
Mark Miller is the founder and CEO of Insurevision.ai, Startups magazine recently explained recently That this talent war creates a “great gap of opportunity” in traditional industries.
Miller, “All industries such as insurance, health and logistics cannot compete with salary. They need innovation, but they cannot reach the ability.” He said. “The current situation is absolutely unsustainable. One industry cannot stack all talents while others are falling.”
Voica said AI professionals should make a choice. Although some of them will receive the higher salaries and bureaucracy of Big Tech, others will lean on initiatives where salaries are lower, but the staff has more ownership and influence.
“In a large company, you are actually a gear in a machine, whereas you may have a lot of effect at the beginning. You may have a lot of effect on your work and you feel this effect.” He said.
However, until the price of building AI models decreases, high salaries for AI ability will remain.
“As long as they have to spend billions of dollars to create a model of companies, they will spend tens of millions or hundreds of millions to rent engineers to build these models.”
He continued: “Tomorrow, suddenly, the cost of creating these models decreases by 10 times, the salaries I expected would fall.”
