About Inworld

At Inworld, we believe the processes of building, scaling, and evolving applications are monsters that consume value before it can reach users. Our mission is to solve evolution and transform static software into AI systems that autonomously evolve to better serve their users. We are building an intelligent runtime to conquer these monsters and make this vision a reality.

We are backed by investors such as Intel Capital, Microsoft’s M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures. Our technology is used by industry leaders like NVIDIA, Epic Games and Microsoft Xbox. Inworld has been recognized by CB Insights as one of the 100 most promising AI companies globally and has 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 building, optimizing, and deploying production ML systems that power our platform. Your work will focus on the difficult engineering problems of building the engine for the next generation of AI-driven software.

Responsibilities

• Develop production-scale infrastructure to train, evaluate, and serve ML models efficiently.

• Research and implement cutting-edge ML models and techniques to advance Inworld’s core AI capabilities.

• Optimize model and system performance for latency, cost, and on-device constraints.

• Collaborate with product and research teams to translate novel ideas into robust, production-ready solutions.

Qualifications

• BA/BS degree or equivalent experience in a relevant technical field.

• 5+ years of experience in software development in Python and/or C++.

• 4+ years of experience applying ML algorithms in natural language processing, speech processing, and/or action-planning domains.

• Fluency with ML frameworks such as PyTorch.

• Familiarity with modern AI tools and technologies.

• Strong foundation in data structures, algorithms, and software engineering principles.

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.

• 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.