Research Prompt Engineer

Prompt engineering is the art of instructing large language models in a way that delivers the most nuanced and high-quality outputs. It is a hybrid between programming, instructing, and iterative experimentation. As a research prompt engineer, your role would be to work with our finetuning researchers to help deliver the best results from our models. This will include but need not be limited to: building on existing prompting techniques, developing new prompting techniques, testing prompt effectiveness, documenting prompts, supporting prompt testing infrastructure, and running experiments using the prompts you help to develop.Responsibilities:Develop new, creative, and original prompting strategies for a wide range of research tasks relevant to our fine-tuning efforts.Build upon and improve existing prompting techniques to increase their effectiveness and efficiency.Test and assess the effectiveness of both existing and newly developed prompts.Create and maintain documentation of prompts and promote internal knowledge sharing.Help to create and maintain the infrastructure required for efficient prompt iteration and testing.Work with finetuning researchers to run experiments using the prompts you have helped create.Stay up-to-date with the latest research in prompt engineering and share knowledge with the team.You may be a good fit if you:Have extensive prior experience exploring and testing language model behavior.Have a high level of familiarity with the architecture and operation of large language models.Have good communication skills and an interest in working with researchers on difficult prompting tasks.Have a creative hacker spirit and a love of puzzle solving.Have a firm grasp of programming in Python and experience with data structures.Strong candidates may also have:Advanced degree in computer science, mathematics, statistics, physics, or a related technical field, or an advanced degree in a relevant non-technical field alongside evidence of programming experience.Research experience in machine learning, natural language processing, or a related field.Experience with large-scale model training and evaluation.Passion for making powerful technology safe and societally beneficial.Annual Salary:The expected salary range for this position is $280k - $405k USD.LogisticsLocation-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.Deadline to apply: None. Applications will be reviewed on a rolling basis.US visa sponsorship: 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.We 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.Compensation and BenefitsAnthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.US Benefits - The following benefits are for our US-based employees:Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.Comprehensive health, dental, and vision insurance for you and all your dependents.401(k) plan with 4% matching.22 weeks of paid parental leave.Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!Stipends for education, home office improvements, commuting, and wellness.Fertility benefits via Carrot.Daily lunches and snacks in our office.Relocation support for those moving to the Bay Area.

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