Prompt Engineer
San Francisco
Full Time Entry-level / Junior USD 140K+
Cantina
A new social platform where you can create, share, and interact with Al bots live with friends.A bit about Cantina:
Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots and your friends directly in the Cantina or across the internet.
Cantina bots are lifelike, social creatures, capable of interacting wherever humans go on the internet. Recreate yourself using powerful AI, imagine someone new, or choose from thousands of existing characters. Bots are a new media type that offer a way for creators to share infinitely scalable and personalized content experiences combined with seamless group chat across voice, video, and text.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
About the role
The Bot Creator team’s mission is to democratize the creation of hyper-realistic AI personas and unlock a new generation of content creators. In this role, you will identify key personality traits that make for compelling characters, create datasets that demonstrate those traits, and drive the creation of prompt-based features that reproduce those traits in our bots.
Your work will be at the frontier of social generative AI and require a broad set of skills and interests including NLP, psychology, sociology, prompt engineering, and more. You will work closely with product, engineering, and design, discovering what features make for compelling AI personas and crafting delightful experiences that help users build those traits into their bots.
What you’ll do:
Collaborate closely with product, design, and engineering, diving deep into theories of personality, behavior, and dialect to identify compelling traits for bots.
Write prompts to prototype new bot traits, generate datasets, and evaluate the quality of our bot creation pipelines.
Iteratively improve Cantina’s features through prompt engineering and dataset creation.
Manage multiple ongoing projects & initiatives, and effectively prioritize work in a fast-paced and quickly changing environment.
Requirements:
1+ years of experience prompt engineering and developing LLM-based features.
Previous experience working on ML teams, creating datasets and evaluating model output.
Deep interest and understanding of psychology and sociology pertaining to personality, behavior, and dialect.
Strong ability to communicate design concepts and processes to team members and stakeholders.
Track record of working independently in large ambiguous areas and collaborating with product, design, and engineering.
Location:
We have offices located in Sunnyvale, CA, San Francisco, CA and Brooklyn, NY. While we have a strong focus on individuals near our office hubs, we offer fully remote and hybrid employment opportunities.
Pay Equity:
In compliance with Pay Transparency Laws, the base salary range for this role is between $140,000-170,000 for those located in the San Francisco Bay Area, New York City and Seattle, WA. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
Benefits Summary:
Health Care — 99% of premiums for medical, vision, dental are fully paid for by Cantina, plus One Medical membership.
Monthly Stipend — $500/month to use on whatever you’d like!
Rest and Recharge — 15 PTO days per year, 9 sick days, 13 paid company holidays, and offices closed for winter break (Christmas Eve to New Years Day)!
401(K) — Eligible to participate on day one of employment.
Parental Leave & Fertility Support
Competitive Salary & Equity
Lunch and snacks provided for in-office employees.
WFH equipment provided for full-time hybrid/remote employees.
Tags: Engineering Generative AI LLMs Machine Learning NLP Pipelines Prompt engineering
Perks/benefits: Competitive pay Equity / stock options Fertility benefits Gear Health care Home office stipend Medical leave Parental leave
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