Prompt Engineering Manager

Job title: Prompt Engineering Manager

Company: Anthropic

Job description: 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. We’re bringing rigor to this new discipline by applying a range of techniques to systematically discover and document prompting best practices, and finding ways of making it easy for our customers to do the same.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. If you have extensive ML experience, we’d take a complex ML project that involved careful dataset curation and processing as well as extensive benchmarking as a substitute.Responsibilities:

• Manage and mentor prompt engineers, providing both technical guidance and career development.
• Set goals and reviews for your team, promoting growth and output.
• Stay on top of latest advancements in ML and prompt engineering and adjust team direction accordingly.
• Help set team best practices for how prompting research and development is done, including introducing rigorous procedures for benchmarking and optimizing prompt performance.
• Manage the creation of 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.
• Work with a handful of highest-value enterprise customers on their prompting strategies.

You may be a good fit if you:

• Have experience managing high performance teams of engineers or scientists
• Have an organizational mindset and enjoy building teams from the ground up.
• Have excellent communication, collaboration, and coaching abilities.
• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments.
• Have a creative hacker spirit and love solving puzzles.
• Have at least a high level familiarity with the architecture and operation of large language models as well as ML in general.
• Have a firm grasp of programming in Python and experience with data structures/algorithms.
• 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.
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks.
• Stay up-to-date and informed by taking an active interest in emerging research and industry trends.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Expected salary:

Location: USA

Job date: Mon, 29 Apr 2024 23:32:25 GMT

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