Karkidi
Prompt Engineer & Librarian
Karkidi, San Francisco, California, United States, 94199
Anthropic’s AI technology is amongst the most capable and safe in the world. However, large language models are a new type of intelligence, and the art of instructing them in a way that delivers the best results is still in its infancy — it’s a hybrid between programming, instructing, and teaching. You will figure out the best methods of prompting our AI to accomplish a wide range of tasks, then document these methods to build up a library of tools and a set of tutorials that allows others to learn prompt engineering, as well as work with high value partners to directly solve their challenges.
Find out if this opportunity is a good fit by reading all of the information that follows below. Given that the field of prompt-engineering is arguably less than 2 years old, this position is a bit hard to hire for! As a result, we ask that you share with us a specific prompt engineering project on LLMs that you’re proud of in your application! Ideally this project should show off a complex and clever prompting architecture or a systematic evaluation of an LLM’s behavior. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Responsibilities:
Discover, test, and document best practices for a wide range of tasks relevant to our customers. Build up a library of high quality prompts or prompt chains to accomplish a variety of tasks, with an easy guide to help users search for the one that meets their needs. Build a set of tutorials and interactive tools that teach the art of prompt engineering to our customers. Work with large enterprise customers on their prompting strategies. You may be a good fit if you:
Have 3-5 years of relevant or transferrable experience. Have at least a high level familiarity with the architecture and operation of large language models. Are an excellent communicator, and love teaching technical concepts and creating high quality documentation that helps out others. Are excited to talk to motivated customers and help solve their problems. Have a creative hacker spirit and love solving puzzles. Have at least basic programming skills and would be comfortable writing small Python programs. Have an organizational mindset and enjoy building teams from the ground up. You think holistically and can proactively identify the needs of an organization. Make ambiguous problems clear and identify core principles that can translate across scenarios. Have a passion for making powerful technology safe and societally beneficial. You anticipate unforeseen risks, model out scenarios, and provide actionable guidance to internal stakeholders. Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. You stay up-to-date and informed by taking an active interest in emerging research and industry trends. Annual Salary
The expected salary range for this position is $250k - $375k USD. Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.
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Find out if this opportunity is a good fit by reading all of the information that follows below. Given that the field of prompt-engineering is arguably less than 2 years old, this position is a bit hard to hire for! As a result, we ask that you share with us a specific prompt engineering project on LLMs that you’re proud of in your application! Ideally this project should show off a complex and clever prompting architecture or a systematic evaluation of an LLM’s behavior. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Responsibilities:
Discover, test, and document best practices for a wide range of tasks relevant to our customers. Build up a library of high quality prompts or prompt chains to accomplish a variety of tasks, with an easy guide to help users search for the one that meets their needs. Build a set of tutorials and interactive tools that teach the art of prompt engineering to our customers. Work with large enterprise customers on their prompting strategies. You may be a good fit if you:
Have 3-5 years of relevant or transferrable experience. Have at least a high level familiarity with the architecture and operation of large language models. Are an excellent communicator, and love teaching technical concepts and creating high quality documentation that helps out others. Are excited to talk to motivated customers and help solve their problems. Have a creative hacker spirit and love solving puzzles. Have at least basic programming skills and would be comfortable writing small Python programs. Have an organizational mindset and enjoy building teams from the ground up. You think holistically and can proactively identify the needs of an organization. Make ambiguous problems clear and identify core principles that can translate across scenarios. Have a passion for making powerful technology safe and societally beneficial. You anticipate unforeseen risks, model out scenarios, and provide actionable guidance to internal stakeholders. Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. You stay up-to-date and informed by taking an active interest in emerging research and industry trends. Annual Salary
The expected salary range for this position is $250k - $375k USD. Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.
#J-18808-Ljbffr