Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
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Develops reliable and interpretable AI systems
$260k - $285k/yr
Senior
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.
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Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, is an AI assistant that can perform a variety of 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 by providing AI-driven solutions that can be tailored to specific needs.
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
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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Google has launched Gemini 2.5 Flash, a major upgrade to its AI lineup that gives businesses and developers unprecedented control over how much “thinking” their AI performs. The new model, released today in preview through Google AI Studio and Vertex AI, represents a strategic effort to deliver improved reasoning capabilities while maintaining competitive pricing in the increasingly crowded AI market.The model introduces what Google calls a “thinking budget” — a mechanism that allows developers to specify how much computational power should be allocated to reasoning through complex problems before generating a response. This approach aims to address a fundamental tension in today’s AI marketplace: more sophisticated reasoning typically comes at the cost of higher latency and pricing.“We know cost and latency matter for a number of developer use cases, and so we want to offer developers the flexibility to adapt the amount of the thinking the model does, depending on their needs,” said Tulsee Doshi, Product Director for Gemini Models at Google DeepMind, in an exclusive interview with VentureBeat.This flexibility reveals Google’s pragmatic approach to AI deployment as the technology increasingly becomes embedded in business applications where cost predictability is essential. By allowing the thinking capability to be turned on or off, Google has created what it calls its “first fully hybrid reasoning model.”Pay only for the brainpower you need: Inside Google’s new AI pricing modelThe new pricing structure highlights the cost of reasoning in today’s AI systems
/PRNewswire/ -- Today, Goodfire, the leading AI interpretability research company, announced a $50 million Series A funding round led by Menlo Ventures with...
Anthropic to launch Claude AI voice assistant, challenging ChatGPT.