Senior Prompt Engineer - USA

Inworld AI · Peninsula

Company

Inworld AI

Location

Peninsula

Type

Full Time

Job Description

view open roles

Why Join Inworld

Inworld is the best-funded startup in AI and games with a $500 million valuation and backing from top tier investors like Intel, Microsoft, Lightspeed, Bitkraft, Founders Fund, Kleiner Perkins, and more. Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world and was nominated alongside Anthropic, DeepMind, OpenAI and Nvidia for Generative AI Innovator of the Year at the VentureBeat Awards 2023.

Inworld is the leading AI engine for games, enabling developers to build groundbreaking game mechanics, dynamic NPCs and worlds that evolve with each action. Inworld powers experiences built by Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft/Xbox, Epic Games and Unity.ย 

We are looking for a Prompt Engineer, Senior and higher level to join our talented team.

Your Impact

This is an opportunity to create 0 to 1 product features experiences at the intersection of many of todayโ€™s most transformative technologies. Help shape the future of AI by working closely with industry leading ML and product teams to solve deeply technical challenges in Generative AI and evolve our core AI character engine.

Requirements

  • BA/BS degree or higher in Computer Science, Mathematics, or Engineering.
  • 3+ years of technical experience working with AI/ML products.
  • Exceptional product intuition and keen attention to detail.
  • Passionate about learning and applying cutting edge AI research.
  • High level understanding and experience with LLMs, transformer architecture, RLHF.

Responsibilities

  • Collaborate cross-functionally with Engineering, Product, and Data Science to translate cutting edge ML research into robust product features.
  • Identify and implement novel methods to evolve Inworldโ€™s core AI character capabilities including dialogue, actions, and internal state management.
  • Drive iterative product improvement through fast paced experimentation and evaluation.
  • Stay up to date on latest LLM research and advancements.

In-office location: Mountain View, CA, United States.

Remote location: United States.
The US base salary range for this full-time position is $140,000 - $240,000. In addition to base pay, total compensation includes bonus equity and benefits. Within the range, individual pay is determined by work location and additional factors, including competencies and experience.ย 

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Date Posted

02/25/2024

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