Full-Time
Confirmed live in the last 24 hours
Develops reliable and interpretable AI systems
$355k/yr
Expert
H1B Sponsorship Available
San Francisco, CA, USA
Currently, we expect all staff to be in one of our offices at least 25% of the time.
Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, is an AI assistant that can perform various tasks for clients across different industries. Claude uses advanced techniques in natural language processing, reinforcement learning, and human feedback to understand and respond to user requests effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also easy to understand and control. The company's goal is to enhance operational efficiency and decision-making for its clients through the deployment and licensing of its AI solutions, as well as providing specialized research and development services.
Company Size
1,001-5,000
Company Stage
Series E
Total Funding
$16.8B
Headquarters
San Francisco, California
Founded
2021
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Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Microsoft’s hit AI programming tool GitHub Copilot wants to move away from simply helping people complete code and as of today, will allow for users to set up asynchronous code testing. The move brings GitHub Copilot to work more autonomously for developers, keeping the app competitive as the AI coding assistant space has become more crowded with AI-powered tools, including Microsoft investment OpenAI’s rival Codex software engineering agent released Friday.GitHub Copilot Agent, first announced as Project Padawan back in February, will check, test and iterate code. When invoked, Copilot Agent can navigate the repo, edit files, run commands and open pull requests. Mario Rodriguez, chief product officer at GitHub, told VentureBeat that GitHub Copilot Agent could open developers up to focus on other tasks while ensuring any previous code they wrote works. “I could go into an issue, and before, I needed to go back into my IDE, clone that repo, open the issue to try and figure it out, et cetera, et cetera,” Rodriguez said. “Now I can just assign it to Copilot and it’s right there along with my other peers.”He added that the Copilot Agent embeds into GitHub and follows the user’s style, and that the human developer can monitor it because the agent logs its reasoning and validation steps. A developer can assign the issue to the agent as much as they would for human coworkers
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Microsoft launched a comprehensive strategy to position itself at the center of what it calls the “open agentic web” at its annual Build conference this morning, introducing dozens of AI tools and platforms designed to help developers create autonomous systems that can make decisions and complete tasks with limited human intervention.The Redmond, Wash.-based technology giant introduced more than 50 announcements spanning its entire product portfolio, from GitHub and Azure to Windows and Microsoft 365, all focused on advancing AI agent technologies that can work independently or collaboratively to solve complex business problems.“We’ve entered the era of AI agents,” said Frank Shaw, Microsoft’s Chief Communications Officer, in a blog post coinciding with the Build announcements. “Thanks to groundbreaking advancements in reasoning and memory, AI models are now more capable and efficient, and we’re seeing how AI systems can help us all solve problems in new ways.”How AI agents transform software development through autonomous capabilitiesThe concept of the “agentic web” moves far beyond today’s AI assistants. While current AI tools mainly respond to human questions and commands, agents actively initiate tasks, make decisions independently, coordinate with other AI systems, and complete complex workflows with minimal human supervision. This marks a fundamental shift in how AI systems operate and interact with both users and other technologies.Kevin Scott, Microsoft’s CTO, described this shift during a press conference as fundamentally changing how humans interact with technology: “Reasoning will continue to improve
Anthropic, a generative AI startup, secured a $2.5 billion revolving credit facility to accelerate growth, with participation from major banks like Morgan Stanley and Goldman Sachs. This facility enhances liquidity and financial flexibility. Previously, Anthropic received an $8 billion convertible bond investment from Amazon. As of Q1, Anthropic's annualized revenue exceeded $2 billion, doubling from the previous year, with a significant increase in high-spending customers.
Anthropic has secured a $2.5 billion, five-year revolving credit line, according to a CNBC report. Note that Reuters has not verified the accuracy of this story.
Meta reportedly delayed the rollout of its flagship artificial intelligence model called Behemoth.The company internally planned to release Behemoth in April, later pushed the release date to June, and has now delayed the launch at least until fall, The Wall Street Journal reported Thursday (May 15), citing unnamed sources.The company has not publicly committed to a timeline for the product, the report said.Meta did not immediately reply to PYMNTS’ request for comment.The launch delays have been caused by struggles to improve the AI model and by concerns that the model’s performance won’t live up to that promoted in public statements, according to the report.In public statements, Meta has said that Behemoth already outperforms similar models from Anthropic, Google and OpenAI on certain tests, per the report.When releasing the latest versions of its Llama AI model April 5, Meta said in a press release: “We’re also previewing Llama 4 Behemoth, one of the smartest LLMs in the world and our most powerful yet to serve as a teacher for our new models.”Meta CEO Mark Zuckerberg said April 30 during a first-quarter earnings call that the company will increase its spending for AI data centers this year as it embeds the technology more deeply throughout its family of apps.The company plans to record $64 billion to $72 billion in capital expenditures, up from $60 billion to $65 billion, while striving to meet demand for computing resources.“The major theme right now, of course, is how AI is transforming everything we do,” Zuckerberg said. “The opportunities ahead for us are staggering. To that end, we are accelerating some of our efforts to bring capacity online more quickly this year, as well as some longer-term projects that will give us flexibility to add capacity in the coming years.”Meta’s open-source AI models that were released April 5 — Llama 4 Scout and Llama 4 Maverick — are a shot across the bow to rivals’ more expensive closed models and good news for businesses hoping to lower the cost of deploying AI, PYMNTS reported April 9.For all PYMNTS AI coverage, subscribe to the daily AI Newsletter