About Inworld
At Inworld, we believe that the benefits of AI should extend beyond business workflows to the applications and experiences that we enjoy every day. We began by pushing the frontier of lifelike, interactive characters for games and entertainment, pioneering realtime conversational AI at scale. Today, we apply that expertise to provide the multimodal models, pipelines and tools needed to build and evolve consumer-scale, real-time conversational AI applications across learning, health, social, assistants, games and media.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA.
About the role
Our intelligent runtime must seamlessly connect to foundational models - whether via APIs or running locally - and autonomously evolve an application's logic. For this to be possible at scale, not only the runtime has to be reliable and flexible, but the models it uses need to be state-of-the-art quality, exceptionally fast, and cost-effective.
We are seeking Staff and Principal level Machine Learning Engineers to solve these critical challenges. You will be responsible for researching, building, optimizing, and deploying the production ML systems that power our platform. Your work will focus on the difficult research and engineering problems of building the engine for the next generation of AI-driven software.
Responsibilities
Experiment with and implement cutting-edge ML models and techniques to advance our core AI capabilities.
Train, evaluate, and optimize production-scale models and systems, focusing on quality, latency, cost, and on-device constraints.
Collaborate with product and backend teams to translate novel ideas and research findings into robust, production-ready solutions.
Qualifications
A PhD in a relevant technical field, or a BA/BS degree with equivalent research and/or engineering experience.
5+ years of combined experience in software development (Python, C++) and applied ML engineering.
Demonstrated experience applying or researching ML in domains such as natural language processing, speech processing, and/or action planning.
Strong foundation in data structures, algorithms, and neural network architectures.
Proficiency with ML frameworks such as PyTorch.
A good fit for this role may have
A passion for learning and staying up-to-date with the latest advancements in ML research and its applications.
Ability to work collaboratively in a fast-paced environment with shifting priorities.
Familiarity with pre-training, fine-tuning, RLHF and evaluation of large language and speech models.
Knowledge of working with embedded systems and/or running ML on edge devices.
Strong background in mathematics and/or physics.
We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office.
The base salary range for this full-time position is $240,000 - $385,000+ bonus + equity + benefits.
Top Skills
What We Do
Inworld is a fully integrated platform for AI characters that goes beyond large language models (LLMs) – by adding configurable safety, knowledge, memory, narrative controls, multimodality, and more.
Inworld uses advanced AI to build generative characters whose personalities, thoughts, memories, and behaviors are designed to mimic the deeply social nature of human interaction. The Inworld platform lets you create characters with personality and contextual awareness to keep them in-world and on brand. Integrations make it easy for developers to deploy characters into immersive experiences, while scale and performance are optimized for real-time experiences.
We are a team of experts that have pioneered conversational AI platforms and generative models at API.AI (acquired by Google and renamed Dialogflow), Google and DeepMind. We are continuing to build out our incredibly talented team, with experts in generative language models, emotions, speech synthesis, multimodal interaction, design, and 3D animation.
Inworld is backed by top-tier investors including Section 32, Intel Capital, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, First Spark Ventures, The Venture Reality Fund, CRV, Meta, Microsoft’s M12 fund, Micron Ventures, LG Technology Ventures, NTT Docomo Ventures, and SK Telecom Venture Capital. Inworld was one of six companies selected for the 2022 Disney Accelerator. Prominent angels include Twitch Co-Founder, Kevin Lin; Oculus Co-Founder, Nate Mitchell; Animoca Brands Co-Founder, Yat Siu; The Sandbox Co-Founder, Sebastien Borget and NaHCO3, the family office of Riot Games Co-Founder, Marc Merrill.
.png)
