# Hiring Articoli collegati

Il Centro Notizie HTX fornisce gli articoli più recenti e le analisi più approfondite su "Hiring", coprendo tendenze di mercato, aggiornamenti sui progetti, sviluppi tecnologici e politiche normative nel settore crypto.

Tsinghua University's Special Award Winner, Gu Yuxian, Joins DeepSeek

Tsinghua University's prestigious Graduate Special Scholarship recipient and 2021 Ph.D. candidate, Yuxian Gu, has officially joined DeepSeek. This news coincides with DeepSeek's major recruitment drive and the imminent launch of DeepSeek V4, on whose research paper Gu is listed as an author. A doctoral student in the Conversational AI group under Professor Minlie Huang at Tsinghua, Gu's research focuses on enhancing efficiency throughout the entire lifecycle of large language models. His key contributions span three areas: innovative methods for pre-training data selection (e.g., PDS), advanced knowledge distillation techniques for model compression (notably MiniLLM), and the development of efficient model architectures like Jet-Nemotron. His work has gained significant recognition, with nearly 5,000 citations on Google Scholar. Key publications include the highly cited surveys and papers on pre-trained models and the MiniLLM distillation method. As first author, he has presented at top-tier AI conferences including NeurIPS, ICLR, and ACL. One of his notable achievements is the Jet-Nemotron architecture, which combines Post-Neural Architecture Search (PostNAS) and a novel linear attention module called JetBlock. This model series demonstrates state-of-the-art performance rivaling larger models while achieving substantial efficiency gains in inference. Gu's expertise in creating powerful yet efficient AI systems aligns with industry needs, as evidenced by the adoption of his MiniLLM method by leading tech companies. His move to DeepSeek is anticipated to contribute further advancements in the field.

marsbit11 h fa

Tsinghua University's Special Award Winner, Gu Yuxian, Joins DeepSeek

marsbit11 h fa

DeepSeek Begins to Create Wealth

DeepSeek is transitioning from a secretive research lab to a commercial AI company, marked by a major hiring push and its recent $51 billion funding round at a $400 billion valuation. This signals the start of a new wealth-creation era in China's AI industry, similar to the early days of major internet companies. The article argues that the true opportunity lies not just within DeepSeek, but across the entire burgeoning AI ecosystem—including companies like Zhipu, Moonshot, and Baichuan—which is creating thousands of new jobs. The competition is shifting from building foundational models to developing AI Agents, a field where DeepSeek's new "Harness" team aims to compete globally. For professionals, joining now offers a chance to gain scarce, high-value skills in Agent development and reasoning optimization. For the broader population, the greatest红利 may come from applying AI tools to transform existing industries like design, sales, and education, much like how the internet empowered countless ordinary entrepreneurs. The core message is that a new cycle of wealth creation is opening up, driven by the maturation of the entire AI industry.

marsbit06/28 01:29

DeepSeek Begins to Create Wealth

marsbit06/28 01:29

Google's 'Reasoning King' Also Departs for Meta, Originally Recruited by Fei-Fei Li

"Google's 'King of Reasoning' Leaves for Meta, Quietly Departing After Over Eight Years. Denny Zhou, a key figure behind Google's AI reasoning advancements including work showcased by CEO Sundar Pichai, has joined Meta's MSL as a research scientist. His low-profile move, discovered via a LinkedIn update, occurred months before the high-profile departures of Noam Shazeer to OpenAI and Nobel laureate John Jumper to Anthropic. Zhou was originally recruited to Google by Fei-Fei Li's China center initiative after nearly 11 years at Microsoft. This is part of a significant talent drain at Google, with top researchers like Shazeer (co-author of the Transformer paper) and Jumper (AlphaFold lead) recently leaving for rivals. Reports suggest internal friction is a contributing factor, particularly around Google's strategic shift. The company has reportedly formed a high-priority 'AI Coding Strike Team,' involving co-founder Sergey Brin, to urgently bridge the gap in AI coding agents, potentially reallocating resources and focus away from other research directions like DeepMind's 'world model' AGI approach. This pivot towards commercially-proven coding applications may have influenced departures, as hinted by Shazeer's comment about his compute allocation being given to another team. Meanwhile, Meta continues to bolster its team, also recently hiring UC Berkeley professor and 'security godmother' Dawn Song, along with her startup Virtue AI team, as a VP of AI research."

marsbit06/26 13:39

Google's 'Reasoning King' Also Departs for Meta, Originally Recruited by Fei-Fei Li

marsbit06/26 13:39

Dawn Song, The First Lady of Computer Security, Joins Meta

Computer security and AI safety pioneer Dawn Song has joined Meta's Superintelligence Labs as Vice President of AI Research, reporting to MSL head Nat Friedman. Song, a professor at UC Berkeley's EECS department and a MacArthur Fellow, is renowned for her foundational work in dynamic taint analysis and her leadership in adversarial machine learning and AI agent security. Her lab is considered a top training ground in computer security. Song is also a founder of Oasis Labs and Virtue AI, a company focused on enterprise AI safety infrastructure. Virtue AI co-founders Bo Li and Sanmi Koyejo, along with other team members, are also joining Meta, a move seen as strengthening Meta's safety measures for AI agents amid growing industry concerns. Separately, Denny Zhou, founder of Google's Gemini Reasoning Team and a key figure in advancing large language model reasoning techniques like Chain-of-Thought, reportedly joined Meta several months ago. These high-profile hires come as Meta seeks to deploy AI across its products while assuring regulators and the public of its models' robustness against misuse.

marsbit06/26 08:12

Dawn Song, The First Lady of Computer Security, Joins Meta

marsbit06/26 08:12

Breaking: Google Gemini Co-Head Poached by OpenAI

In a significant industry move, Noam Shazeer, a former DeepMind researcher and co-lead of Google's Gemini project, has officially joined OpenAI as the Lead for Architecture Research. Shazeer is a legendary figure in AI, best known as a core author of the seminal 2017 paper "Attention Is All You Need," which introduced the Transformer architecture foundational to modern models like GPT and Gemini. Shazeer announced his move on social media, expressing excitement to join OpenAI's team while also thanking his former colleagues at Google. His career spans over 18 years at Google, where he contributed to key technologies including the Mixture of Experts (MoE) architecture, Mesh TensorFlow, and the LaMDA model. He left Google in 2021 to co-found the conversational AI company Character.AI, which achieved a multi-billion dollar valuation. In 2024, he returned to Google's DeepMind via a major technology licensing deal to help lead the Gemini project. His departure is viewed as a substantial loss for Google and a major talent acquisition for OpenAI, which is intensifying its competition with rivals like Anthropic. At OpenAI, Shazeer will focus on exploring next-generation AI model architectures and the evolution beyond the current Transformer paradigm. The move underscores the fierce competition for top AI research talent as companies race to develop advanced AI systems.

marsbit06/18 04:19

Breaking: Google Gemini Co-Head Poached by OpenAI

marsbit06/18 04:19

Turn Off AI Before the Interview: What Kind of People is Anthropic Looking For?

"Shut Off AI Before the Interview: What Kind of People Anthropic Is Screening For" Anthropic, now the world's most valuable AI startup, has an exceptionally competitive hiring process. A key and distinctive element is its mandatory "culture interview," conducted without AI assistance. This interview focuses not on technical skills, but on assessing a candidate's core values, worldview, and perspective on long-term AI risks. Questions delve deeply into personal ethics, "unusual beliefs," and the candidate's willingness to thoughtfully critique Anthropic's own mission. The goal is to evaluate whether someone's convictions are genuinely their own and if they can articulate and defend them under pressure. A poor score here can veto otherwise successful technical interviews. This approach starkly contrasts with companies like Google, which now encourages using AI in interviews to assess "AI fluency." Anthropic's philosophy suggests that in an era where AI makes execution cheap and the generation of opinions nearly free, true scarcity lies in original, deeply held thought. The company seeks individuals who possess substance "after turning off the AI"—those who haven't outsourced their core thinking. This focus on aligning fundamental values contributes to Anthropic's high employee retention rate in a fast-moving industry.

marsbit06/08 09:35

Turn Off AI Before the Interview: What Kind of People is Anthropic Looking For?

marsbit06/08 09:35

Notion CEO: AI companies should be a 'Jazz Band,' and I am a 'Refounder'

Notion CEO Ivan Zhao, in a recent podcast, shared his journey of twice rebuilding the company from near-collapse and now applying the same "Refounder" mindset to reshape the 1000-person organization in the AI era. He argues that AI has commoditized technical capability (Capability). True talent now hinges on Taste (judgment/values) and Agency (proactive drive), necessitating a shift in hiring—e.g., hiring more juniors for curiosity and having sales candidates demonstrate work upfront. Zhao envisions the company as a "Jazz Band"—agile and improvisational—versus a rigid "Marching Band." This is reflected in an engineering "dumbbell" structure (super juniors + top-tier seniors, with middle layers compressed), dissolving the CMO role to let teams operate directly, and integrating entrepreneurs via acquisitions to lead their expertise areas. Notion has abandoned traditional long-term product roadmaps, planning only conservatively for finances while adopting a week-by-week, improvisational approach to product strategy, as longer plans proved futile during rapid AI shifts. He concludes that while human nature and roles remain constants, companies must rewrite their approaches to hiring (valuing Taste/Agency over Capability), organizational design (reducing roles focused on coordination/execution), and planning (embracing flexibility). Modern knowledge work, being only ~150 years old, is ripe for reinvention.

marsbit05/26 04:43

Notion CEO: AI companies should be a 'Jazz Band,' and I am a 'Refounder'

marsbit05/26 04:43

Anthropic Starts Poaching Scientists? $27K Weekly Onsite Stipend to Fix Claude's Expert-Level Errors

Anthropic has launched a new STEM Fellow program, offering $3,800 per week for a three-month, in-person residency in San Francisco. The role targets experts from science, technology, engineering, and mathematics (STEM) fields—machine learning experience is helpful but not required. Instead, Anthropic values scientific judgment and a willingness to learn quickly. Fellows will work with Claude models and internal tools under the guidance of an Anthropic researcher. Example projects include a materials scientist identifying errors in Claude’s reasoning or a climate scientist integrating atmospheric modeling software with Claude. The goal is to have experts "tell Claude where it's wrong" and improve its scientific capabilities. This initiative is part of Anthropic’s broader strategy to strengthen its scientific ecosystem, following earlier programs like the AI Safety Fellows and AI for Science programs. The company acknowledges that current AI models, while powerful, still produce high-confidence errors and lack end-to-end research autonomy. The program aims to embed domain expertise directly into model development, turning scientists into "high-level reviewers" for AI. Anthropic CEO Dario Amodei has previously emphasized AI’s potential to accelerate scientific breakthroughs, particularly in biology and healthcare. The company believes that the next phase of AI competition will depend not on scaling parameters, but on integrating human expertise to refine model accuracy and reliability.

marsbit04/22 07:44

Anthropic Starts Poaching Scientists? $27K Weekly Onsite Stipend to Fix Claude's Expert-Level Errors

marsbit04/22 07:44

a16z on Hiring: How to Choose Between Crypto-Native and Traditional Talent?

Hiring in Crypto: Balancing Crypto-Native and Traditional Talent As the crypto industry grows, founders face the dilemma of whether to prioritize hiring professionals with blockchain experience or those with traditional tech backgrounds who can learn. The key is recognizing that crypto companies are still tech companies at their core and should apply proven hiring best practices. Crypto-native talent offers immediate productivity and is essential for roles involving high-stakes, specialized work like smart contract development, where errors can be catastrophic. However, traditional professionals from large-scale software companies bring valuable experience in scaling products, operational flexibility, and expertise in areas like fintech, UX, and security, which are crucial as crypto products target mainstream adoption. Recruiting requires tailored approaches. Some candidates may be hesitant due to crypto's volatility or complexity, while others are excited by its innovative potential. Assess candidates' motivations, curiosity, and alignment with the company's vision early. Emphasize the opportunity to shape technology's future and address financial incentives, such as token-based compensation, which can offer liquidity compared to traditional equity. Onboarding is critical. Identify knowledge gaps during hiring and design education programs, mentorship, knowledge-sharing sessions, and resources like blogs or courses to accelerate learning. Pairing new hires with experienced crypto professionals helps bridge gaps and fosters collaboration. Ultimately, successful teams blend both crypto-native and traditional talent, leveraging their strengths to drive innovation and growth.

marsbit04/19 01:17

a16z on Hiring: How to Choose Between Crypto-Native and Traditional Talent?

marsbit04/19 01:17

Design, Development, Legal, Sports... Polymarket Launches 'Full-Stack' Talent Grab

Polymarket, a leading prediction market platform, is aggressively expanding its team across multiple domains following competitor Kalshi's recent $22 billion valuation funding round. Key hires and strategic acquisitions are central to its growth strategy. Design remains a priority, with the design lead actively recruiting to strengthen the platform's distinctive blue-and-white branding. Engineering recruitment is also intensive, highlighted by the acquisition of API platform Dome, whose co-founders joined Polymarket, and the hiring of a former Aave engineering VP. Multiple senior engineering roles are currently open. For its US platform, Polymarket is bolstering legal and compliance expertise, adding a former RBC Capital Markets veteran as Legal Counsel. In a significant move, it hired a former Fanatics CBO to lead sports business development, which sparked a non-compete lawsuit from Fanatics, revealing complex industry entanglements. Further hires include a former Coinbase institutional product lead to handle institutional liquidity sales, a marketing head from MrBeast's team, and a Citadel veteran for exchange upgrades. Polymarket is also recruiting for HR and a Head of Markets, indicating the talent competition in the prediction market space is far from over.

Odaily星球日报04/15 12:34

Design, Development, Legal, Sports... Polymarket Launches 'Full-Stack' Talent Grab

Odaily星球日报04/15 12:34

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