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MiniMax has introduced its “10x Team” initiative aimed at recruiting top talent across various fields, including economics, finance, life sciences, materials chemistry, and mathematics, offering monthly salaries in the six-figure range in Chinese yuan.
The company is looking for individuals who can leverage their expertise to enhance AI model capabilities and seamlessly integrate valuable sector-specific tasks with their large language models. This approach aims to overcome the data and efficiency limitations common in traditional research methods, according to a company announcement made on May 11 in Shanghai.
Recruitment extends to all industries that could benefit from or have strong potential for integration with large language models, such as law, education, physics, and arts.
There are two participation options: the first involves full-time role where researchers can commit long-term and spearhead research projects in their field; the second is a fellowship designed for senior specialists who prefer not to leave academia but can engage in at least four months of in-person collaboration. Participants may work from locations including Shanghai, Beijing, Hong Kong, San Francisco, and London.
The program promises internationally competitive salaries alongside extensive computing resources, such as unlimited access to top-tier large language models, the company’s infrastructure, and large graphics processing unit clusters without queues. It also includes support for major global databases and open-source datasets.
Experts are permitted to maintain collaborations with external institutions. The company supports joint training and project partnerships, with all results publicly shared by default and submitted to leading conferences and journals.
Some competitors have similar models; for instance, one company recently announced a STEM Fellowship requiring full-time work at its office for three months, offering a weekly stipend of USD 3,800 (over CNY 100,000). Another has recruited in-house specialists for six-month periods in fields like mathematics, physics, and neuroscience, offering around USD 18,300 per month.
In its latest financial disclosure, the company reported a net loss that widened by 302% to nearly USD 1.9 billion last year, primarily due to fair value losses on financial instruments amounting to nearly USD 1.6 billion, with adjusted net losses increasing to USD 251 million from USD 244 million. Revenue grew significantly by 159%, reaching USD 79 million.
The company’s shares rose 6.1% to HKD 732.50 (approximately USD 93.57) as of 1:45 PM in Hong Kong. It is recognized as one of China’s top six “AI tigers,” having gone public on January 9 with an initial offering price of HKD 165.
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