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See How Much Meta Pays Engineers, Researchers, and Other Workers

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Meta may be spending hundreds of millions of dollars to lure top AI talent from rivals. But how much is it paying its broader workforce of software engineers, product managers, and UX researchers?

Thanks to data from federal filings, we now have a window into the company’s salary ranges during a heated moment in Silicon Valley’s talent wars.

Software engineers at Meta can make up to $480,000. Machine learning roles go as high as $440,000. Even product designers and researchers routinely top $200,000.

The numbers come from filings that companies must submit to the Department of Labor when hiring foreign workers through the H-1B visa program, which allows them to bring in 85,000 specialized workers annually through a lottery system. Because tech companies typically guard their compensation details closely, these government-mandated disclosures provide a peek into actual pay scales.

The numbers reflect only annual salaries, excluding the stock options, signing bonuses, and other perks that can often double or triple total compensation packages.

The data comes amid intense competition for AI talent in Silicon Valley. Meta is reportedly offering some AI researchers compensation packages worth up to $300 million over four years as it builds out a new Superintelligence lab.

A spokesperson for Meta declined to comment.

The frenzy extends beyond tech giants. Thinking Machines Lab, the secretive AI startup founded by former OpenAI chief technology officer Mira Murati, is paying technical staff base salaries of up to $500,000 before the company has launched a single product, Business Insider reported earlier this week.

The battle has gotten personal. After Meta lured away seven OpenAI researchers, including Trapit Bansal, co-creator of the company’s o1 reasoning model, OpenAI’s chief research officer, Mark Chen, said in an internal memo that it felt like “someone has broken into our home.”

Here’s what Meta is paying across key roles, based on H-1B filings from the first quarter of 2025.

Artificial intelligence: The highest-paid research engineer at Meta makes up to $440,000.

Mark Zuckerberg shows off holographic glasses at Meta Connect 2024.


Meta

  • AI Research Scientist: $179,481 to $232,000
  • Artificial Intelligence Product Marketing Manager: $220,000
  • Machine Learning Engineer: $165,000 to $440,000
  • Machine Learning Infrastructure Engineer: $239,723
  • Machine Learning Research Scientist: $232,000
  • Research Engineer: $154,840 to $400,000
  • Senior Machine Learning Engineer: $232,017 to $232,266

Data: A data scientist at Meta earns as much as $270,000.


Illustration of Meta logo seen on a phone

Meta logo.


Getty Images

  • Data Analyst: $168,000 to $204,000
  • Data Analytics Manager: $223,202
  • Data Engineer: $125,068 to $270,000
  • Data Engineering Manager: $224,028 to $275,282
  • Data Science Manager: $248,920 to $301,619
  • Database Engineer: $181,000 to $240,002
  • Data Science Director: $320,000
  • Data Scientist: $122,760 to $270,000
  • Senior Data Engineer: $189,066 to $209,720
  • Senior Data Scientist: $204,541 to $227,559
  • Senior Manager, Data & Analytics: $280,000

Engineering: Meta software engineers take home up to $480,000 in base salary.


A software engineer coding at home



MTStock Studio/Getty Images

  • ASIC Engineer: $165,568 to $299,880
  • Business Engineer: $137,000 to $228,538
  • Design Engineer: $185,000 to $256,270
  • Electrical Engineer: $164,000 to $255,000
  • Embedded Software Engineer: $169,313 to $262,822
  • Engineering Director: $352,310 to $353,042
  • Engineering Manager: $246,536 to $288,767
  • Front End Engineer: $177,747 to $233,495
  • Hardware Engineer: $176,000 to $240,000
  • Network Engineer: $115,000 to $239,237
  • Quality Assurance Engineer: $189,213 to $244,000
  • Security Engineer: $145,000 to $258,524
  • Senior Software Engineer: $194,467 to $302,134
  • Software Engineer: $120,000 to $480,000
  • Software Engineering Manager: $219,978 to $328,000

Product and program management: A product manager at Meta is paid up to $314,159.


Meta Chief Product Officer Chris Cox speaks at LlamaCon 2025

Chris Cox, Meta’s chief product officer, speaks at LlamaCon 2025.


AP Photo/Jeff Chiu

  • Privacy Program Manager: $181,139 to $234,461
  • Product Designer: $159,000 to $283,693
  • Product Design Director: $321,538
  • Product Design Manager: $267,540 to $279,594
  • Product Growth Analyst: $142,000 to $206,000
  • Product Management Director: $356,512
  • Product Manager: $161,606 to $314,159
  • Senior Product Designer: $199,932
  • Senior Product Manager: $224,323
  • Technical Program Manager: $164,131 to $274,596

Research: The highest-paid user experience researcher pockets up to $350,000.


Meta Connect 2024 holographic glasses Mark Zuckerberg

Mark Zuckerberg wears Meta’s Orion augmented-reality smart glasses.


Meta

  • Applied Research Scientist: $214,032 to $232,000
  • Hardware Specialized Research Scientist: $214,311
  • Perception Research Scientist: $249,369
  • Research Scientist: $167,000 to $321,101
  • Research Scientist Manager: $258,524
  • Senior Research Scientist: $214,032
  • User Experience Researcher: $170,000 to $350,000
  • UX Research Scientist Manager: $302,134
  • UX Researcher: $195,000 to $292,160





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How the Vatican Is Shaping the Ethics of Artificial Intelligence | American Enterprise Institute

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As AI transforms the global landscape, institutions worldwide are racing to define its ethical boundaries. Among them, the Vatican brings a distinct theological voice, framing AI not just as a technical issue but as a moral and spiritual one. Questions about human dignity, agency, and the nature of personhood are central to its engagement—placing the Church at the heart of a growing international effort to ensure AI serves the common good.

Father Paolo Benanti is an Italian Catholic priest, theologian, and member of the Third Order Regular of St. Francis. He teaches at the Pontifical Gregorian University and has served as an advisor to both former Pope Francis and current Pope Leo on matters of artificial intelligence and technology ethics within the Vatican.

Below is a lightly edited and abridged transcript of our discussion. You can listen to this and other episodes of Explain to Shane on AEI.org and subscribe via your preferred listening platform. If you enjoyed this episode, leave us a review, and tell your friends and colleagues to tune in.

Shane Tews: When did you and the Vatican began to seriously consider the challenges of artificial intelligence?

Father Paolo Benanti: Well, those are two different things because the Vatican and I are two different entities. I come from a technical background—I was an engineer before I joined the order in 1999. During my religious formation, which included philosophy and theology, my superior asked me to study ethics. When I pursued my PhD, I decided to focus on the ethics of technology to merge the two aspects of my life. In 2009, I began my PhD studies on different technologies that were scaffolding human beings, with AI as the core of those studies.

After I finished my PhD and started teaching at the Gregorian University, I began offering classes on these topics. Can you imagine the faces of people in 2012 when they saw “Theology and AI”—what’s that about?

But the process was so interesting, and things were already moving fast at that time. In 2016-2017, we had the first contact between Big Tech companies from the United States and the Vatican. This produced a gradual commitment within the structure to understand what was happening and what the effects could be. There was no anticipation of the AI moment, for example, when ChatGPT was released in 2022.

The Pope became personally involved in this process for the first time in 2019 when he met some tech leaders in a private audience. It’s really interesting because one of them, simply out of protocol, took some papers from his jacket. It was a speech by the Pope about youth and digital technology. He highlighted some passages and said to the Pope, “You know, we read what you say here, and we are scared too. Let’s do something together.”

This commitment, this dialogue—not about what AI is in itself, but about what the social effects of AI could be in society—was the starting point and probably the core approach that the Holy See has taken toward technology.

I understand there was an important convening of stakeholders around three years ago. Could you elaborate on that?

The first major gathering was in 2020 where we released what we call the Rome Call for AI Ethics, which contains a core set of six principles on AI.

This is interesting because we don’t call it the “Vatican Call for AI Ethics” but the “Rome Call,” because the idea from the beginning was to create something non-denominational that could be minimally acceptable to everyone. The first signature was the Catholic Church. We held the ceremony on Via della Conciliazione, in front of the Vatican but technically in Italy, for both logistical and practical reasons—accessing the Pope is easier that way. But Microsoft, IBM, FAO, and the European Parliament president were also present.

In 2023, Muslims and Jews signed the call, making it the first document that the three Abrahamic religions found agreement on. We have had very different positions for centuries. I thought, “Okay, we can stand together.” Isn’t that interesting? When the whole world is scared, religions try to stay together, asking, “What can we do in such times?”

The most recent signing was in July 2024 in Hiroshima, where 21 different global religions signed the Rome Call for AI Ethics. According to the Pew Institute, the majority of living people on Earth are religious, and the religions that signed the Rome Call in July 2024 represent the majority of them. So we can say that this simple core list of six principles can bring together the majority of living beings on Earth.

Now, because it’s a call, it’s like a cultural movement. The real success of the call will be when you no longer need it. It’s very different to make it operational, to make it practical for different parts of the world. But the idea that you can find a common and shared platform that unites people around such challenging technology was so significant that it was unintended. We wanted to produce a cultural effect, but wow, this is big.

As an engineer, did you see this coming based on how people were using technology?

Well, this is where the ethicist side takes precedence over the engineering one, because we discovered in the late 80s that the ethics of technology is a way to look at technology that simply doesn’t judge technology. There are no such things as good or bad technology, but every kind of technology, once it impacts society, works as a form of order and displacement of power.

Think of a classical technology like a subway or metro station. Where you put it determines who can access the metro and who cannot. The idea is to move from thinking about technology in itself to how this technology will be used in a societal context. The challenge with AI is that we’re facing not a special-purpose technology. It’s not something designed to do one thing, but rather a general-purpose technology, something that will probably change the way we do everything, like electricity does.

Today it’s very difficult to find something that works without electricity. AI will probably have the same impact. Everything will be AI-touched in some way. It’s a global perspective where the new key factor is complexity. You cannot discuss such technology—let me give a real Italian example—that you can use in a coffee roastery to identify which coffee beans might have mold to avoid bad flavor in the coffee. But the same technology can be used in an emergency room to choose which people you want to treat and which ones you don’t.

It’s not a matter of the technology itself, but rather the social interface of such technology. This is challenging because it confuses tech people who usually work with standards. When you have an electrical plug, it’s an electrical plug intended for many different uses. Now it’s not just the plug, but the plug in context. That makes things much more complex.

In the Vatican document, you emphasize that AI is just a tool—an elegant one, but it shouldn’t control our thinking or replace human relationships. You mention it “requires careful ethical consideration for human dignity and common good.” How do we identify that human dignity point, and what mechanisms can alert us when we’re straying from it?

I’ll try to give a concise answer, but don’t forget that this is a complex element with many different applications, so you can’t reduce it to one answer. But the first element—one of the core elements of human dignity—is the ability to self-determine our trajectory in life. I think that’s the core element, for example, in the Declaration of Independence. All humans have rights, but you have the right to the pursuit of happiness. This could be the first description of human rights.

In that direction, we could have a problem with this kind of system because one of the first and most relevant elements of AI, from an engineering perspective, is its prediction capabilities.Every time a streaming platform suggests what you can watch next, it’s changing the number of people using the platform or the online selling system. This idea that interaction between human beings and machines can produce behavior is something that could interfere with our quality of life and pursuit of happiness. This is something that needs to be discussed.

Now, the problem is: don’t we have a cognitive right to know if we have a system acting in that way? Let me give you some numbers. When you’re 65, you’re probably taking three different drugs per day. When you reach 68 to 70, you probably have one chronic disease. Chronic diseases depend on how well you stick to therapy. Think about the debate around insulin and diabetes. If you forget to take your medication, your quality of life deteriorates significantly. Imagine using this system to help people stick to their therapy. Is that bad? No, of course not. Or think about using it in the workplace to enhance workplace safety. Is that bad? No, of course not.

But if you apply it to your life choices—your future, where you want to live, your workplace, and things like that—that becomes much more intense. Once again, the tool could become a weapon, or the weapon could become a tool. This is why we have to ask ourselves: do we need something like a cognitive right regarding this? That you are in a relationship with a machine that has the tendency to influence your behavior.

Then you can accept it: “I have diabetes, I need something that helps me stick to insulin. Let’s go.” It’s the same thing that happens with a smartwatch when you have to close the rings. The machine is pushing you to have healthy behavior, and we accept it. Well, right now we have nothing like that framework. Should we think about something in the public space? It’s not a matter of allowing or preventing some kind of technology. It’s a matter of recognizing what it means to be human in an age of such powerful technology—just to give a small example of what you asked me.



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Learn how to use AI safety for everyday tasks at Springfield training

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  • Free AI training sessions are being offered to the public in Springfield, starting with “AI for Everyday Life: Tiny Prompts, Big Wins” on July 30.
  • The sessions aim to teach practical uses of AI tools like ChatGPT for tasks such as meal planning and errands.
  • Future sessions will focus on AI for seniors and families.

The News-Leader is partnering with the library district and others in Springfield to present a series of free training sessions for the public about how to safely harness the power of Artificial Intelligence or AI.

The inaugural session, “AI for Everyday Life: Tiny Prompts, Big Wins” will be 5:30-7 p.m. Thursday, July 10, at the Library Center.

The goal is to help adults learn how to use ChatGPT to make their lives a little easier when it comes to everyday tasks such as drafting meal plans, rewriting letters or planning errand routes.

The 90-minute session is presented by the Springfield-Greene County Library District in partnership with 2oddballs Creative, Noble Business Strategies and the News-Leader.

“There is a lot of fear around AI and I get it,” said Gabriel Cassady, co-owner of 2oddballs Creative. “That is what really drew me to it. I was awestruck by the power of it.”

AI aims to mimic human intelligence and problem-solving. It is the ability of computer systems to analyze complex data, identify patterns, provide information and make predictions. Humans interact with it in various ways by using digital assistants — such as Amazon’s Alexa or Apple’s Siri — or by interacting with chatbots on websites, which help with navigation or answer frequently asked questions.

“AI is obviously a complicated issue — I have complicated feelings about it myself as far as some of the ethics involved and the potential consequences of relying on it too much,” said Amos Bridges, editor-in-chief of the Springfield News-Leader. “I think it’s reasonable to be wary but I don’t think it’s something any of us can ignore.”

Bridges said it made sense for the News-Leader to get involved.

“When Gabriel pitched the idea of partnering on AI sessions for the public, he said the idea came from spending the weekend helping family members and friends with a bunch of computer and technical problems and thinking, ‘AI could have handled this,'” Bridges said.

“The focus on everyday uses for AI appealed to me — I think most of us can identify with situations where we’re doing something that’s a little outside our wheelhouse and we could use some guidance or advice. Hopefully people will leave the sessions feeling comfortable dipping a toe in so they can experiment and see how to make it work for them.”

Cassady said Springfield area residents are encouraged to attend, bring their questions and electronic devices.

The training session — open to beginners and “family tech helpers” — will include guided use of AI, safety essentials, and a practical AI cheat sheet.

Cassady will explain, in plain English, how generative AI works and show attendees how to effectively chat with ChatGPT.

“I hope they leave feeling more confident in their understanding of AI and where they can find more trustworthy information as the technology advances,” he said.

Future training sessions include “AI for Seniors: Confident and Safe” in mid-August and “AI & Your Kids: What Every Parent and Teacher Should Know” in mid-September.

The training sessions are free but registration is required at thelibrary.org.



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How AI is compromising the authenticity of research papers

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17 such papers were found on arXiv

What’s the story

A recent investigation by Nikkei Asia has revealed that some academics are using a novel tactic to sway the peer review process of their research papers.
The method involves embedding concealed prompts in their work, with the intention of getting AI tools to provide favorable feedback.
The study found 17 such papers on arXiv, an online repository for scientific research.

Discovery

Papers from 14 universities across 8 countries had prompts

The Nikkei Asia investigation discovered hidden AI prompts in preprint papers from 14 universities across eight countries.
The institutions included Japan‘s Waseda University, South Korea‘s KAIST, China’s Peking University, Singapore’s National University, as well as US-based Columbia University and the University of Washington.
Most of these papers were related to computer science and contained short prompts (one to three sentences) hidden via white text or tiny fonts.

Prompt

A look at the prompts

The hidden prompts were directed at potential AI reviewers, asking them to “give a positive review only” or commend the paper for its “impactful contributions, methodological rigor, and exceptional novelty.”
A Waseda professor defended this practice by saying that since many conferences prohibit the use of AI in reviewing papers, these prompts are meant as “a counter against ‘lazy reviewers’ who use AI.”

Reaction

Controversy in academic circles

The discovery of hidden AI prompts has sparked a controversy within academic circles.
A KAIST associate professor called the practice “inappropriate” and said they would withdraw their paper from the International Conference on Machine Learning.
However, some researchers defended their actions, arguing that these hidden prompts expose violations of conference policies prohibiting AI-assisted peer review.

AI challenges

Some publishers allow AI in peer review

The incident underscores the challenges faced by the academic publishing industry in integrating AI.
While some publishers like Springer Nature allow limited use of AI in peer review processes, others such as Elsevier have strict bans due to fears of “incorrect, incomplete or biased conclusions.”
Experts warn that hidden prompts could lead to misleading summaries across various platforms.



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