Tools & Platforms

The Exact Salaries Palantir Pays AI Researchers, Engineers

Published

4 weeks ago

August 1, 2025

Palantir stock is up nearly 500% over the past year at the time of writing. As the software and defense technology company’s value skyrockets, the question remains: How well does it pay its staff?

According to new federal filings, obtained by Business Insider, Palantir pays competitively for top tech talent. Software engineers, for example, can make anywhere from $155,000 to $240,000 in base pay.

The range aligns with what other major tech companies offer for the same role, though others have a higher ceiling. Meta pays $120,000 to $480,000, Google pays $109,180 to $340,000 and Microsoft pays $82,971 to $284,000 for software engineering talent.

Palantir builds platforms to help analyze and manage data, mainly for large organizations and the U.S. government and its allies. The company helps break down complex data to drive better decision-making, operations and security. Palantir’s data analysis software is considered a military intelligence tool. The company operates across the world, in North America, Europe, Asia-Pacific and the Middle East, but is headquartered in the U.S., in Denver, Colorado.

^{Palantir CEO Alexander Karp. Photo by Kevin Dietsch/Getty Images}

According to its careers page, Palantir is hiring across the board, from engineering roles targeting new college graduates to product designer jobs.

The company submitted federal filings showing salary information for the first quarter of the year. The filings are required when companies hire foreign workers through the H-1B visa program, which enables highly skilled workers to take on specialty occupations.

The documents only show base annual salaries for H-1B workers and do not include signing bonuses, stock options, or other forms of compensation. They only represent one part of the compensation picture, not the entire view.

The filings show that Palantir pays other roles as follows:

AI Machine Learning Researcher: $210,000 to $250,000
Deployment Strategist: $120,000 to $192,000
Product Designer: $135,000
Quality Engineer: $136,000
Technical Program Manager: $165,000

According to Palantir’s proxy statement, filed with the U.S. Securities and Exchange Commission in April, CEO Alexander Karp’s total compensation in 2024 was $4.63 million, while the median employee’s total compensation for the same year was $229,912. Karp made 20 times more than the mid-level worker at the company.

Palantir has nearly 4,000 U.S. employees.

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Palantir stock is up nearly 500% over the past year at the time of writing. As the software and defense technology company’s value skyrockets, the question remains: How well does it pay its staff?

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Tools & Platforms

Marvell Technology Stock Plunges 18.6% as Weak Outlook Overshadows AI Gains

Published

1 hour ago

August 31, 2025

Ran Melamed

Marvell Technology (MRVL) shares crashed 18.60% on Friday after the company issued a weaker-than-expected forecast for the third quarter. The sharp decline came despite second-quarter results showing strong growth in revenue, steady profits, and earnings in line with expectations. However, investors focused on the outlook rather than the recent gains, which led to a selloff in the stock.

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On Thursday evening, Marvell Technology reported adjusted earnings of $0.67 per share, matching The Street’s estimates. Revenue reached $2.006 billion, slightly below the $2.01 billion consensus. Even with this small gap, total revenue rose 58% from the same quarter last year. The company’s data center unit led the surge, with sales up 69% to $1.49 billion, and it now accounts for nearly three-quarters of Marvell Technology’s overall business.

Weak Forecast Weighs on Analysts’ View

However, the company’s guidance for the third quarter shifted the market’s focus. Marvell Technology projected revenue of $2.06 billion, give or take 5%. That figure came in below the Street’s $2.11 billion target. Executives said data center sales will stay flat in the coming quarter before improving toward year’s end. In the meantime, analysts noted that investors have grown used to upbeat reports from companies tied to artificial intelligence, so the lower outlook stood out.

During the earnings call, Chief Executive Matt Murphy said demand for custom silicon and electro-optics products remains strong, with more than 50 new AI design projects underway. Yet he acknowledged that timing around new deployments will affect near-term results.

After the release, several banks adjusted their stance. Bank of America’s five-star analyst Vivek Arya cut his rating on Marvell Technology to Neutral from Buy and reduced its price target to $78 from $90. UBS’s top analyst Quinn Bolton reduced his target to $80 from $85, retaining a Buy rating. Morgan Stanley five-star analyst Joseph Moore also dropped his target to $76 from $80 and a Hold position. Many of these cuts reflected caution around the pace of major cloud projects, including Microsoft’s (MSFT) Maia accelerator and Amazon’s (AMZN) next-generation chips.

Stock Levels and Market View

Marvell Technology shares have now fallen more than 40% in 2025 and trade about 50% below their January high of $126.06. Despite the weak forecast, the company posted $461.6 million in operating cash flow and kept gross margins at 59.4%. Investors will look to the fourth quarter and beyond for signs that key AI partnerships with Amazon and Microsoft can deliver stronger growth.

Is Marvell Stock a Buy?

Despite the stock’s crash on Friday, Marvell Technology continues to boast a Strong Buy consensus among analysts. The average MRVL stock price target stands at $88.52, implying a 40.81% upside from the current price.

See more MRVL analyst ratings

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Tools & Platforms

Meta reportedly explores using rival AI models to enhance its apps

Published

1 hour ago

August 31, 2025

Emma Job

Meta is exploring the use of AI models from Google and OpenAI to enhance its apps while advancing its own Llama AI technology.

Meta is reportedly exploring the use of artificial intelligence models developed by competitors, including Google and OpenAI, to improve AI features across its platforms. According to a report by The Information, executives at the Meta Superintelligence Lab have considered integrating Google’s Gemini model into the company’s Meta AI chatbot. The move would enable Meta to offer a more robust, conversational text-based solution for answering user search queries.

The report also indicated that Meta has held discussions about incorporating OpenAI’s technology into Meta AI and its other AI-powered features. These potential collaborations highlight Meta’s effort to strengthen its AI capabilities while continuing to develop its own large language model, Llama.

Strategic partnerships as a temporary measure

A Meta spokesperson stated that the company is taking an “all-of-the-above approach to building the best AI products,” which includes both building in-house solutions and partnering with external organisations. The report noted that while Meta is exploring external technology, the company’s primary goal is to refine and advance its own AI systems. Leveraging competitor models would only be a temporary measure to accelerate innovation and keep pace with rivals in the rapidly evolving AI market.

Meta’s interest in adopting external AI tools comes at a time when competition in generative AI development is intensifying. By accessing technologies from industry leaders such as Google and OpenAI, Meta aims to enhance user experiences on its apps while gaining insights that can help strengthen future iterations of Llama.

Internal AI adoption and recruitment efforts

The Information reported that Meta employees are already using Anthropic’s AI models to support the company’s internal coding assistant. This indicates that Meta has been integrating third-party AI solutions internally even as it invests heavily in its own research and development.

Additionally, Meta has been actively recruiting AI researchers from Google and OpenAI to enhance expertise at its Superintelligence Lab. These recruitment efforts reportedly include highly competitive compensation packages designed to attract top talent from across the AI sector.

As Meta continues to refine its AI strategy, the company’s willingness to work with external partners shows its commitment to creating cutting-edge products. The temporary reliance on competitor models could help Meta accelerate development and maintain a strong position in the AI race.

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