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 AI Researchers to find a way to solve these critical challenges. You will be responsible for building 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

• Conduct research to advance AI models.

• Develop and implement novel machine learning techniques.

• Train and evaluate large-scale ML models, with a focus on quality, latency, and cost.

• Work with cross-functional teams to integrate research findings into products.

• Communicate results within the company and to the broader AI community.

Qualifications

• A PhD or equivalent experience in a relevant technical field.

• A strong background in ML research and experience in training large models.

• Knowledge of advanced AI architectures.

• Proficiency with ML frameworks like PyTorch.

• Programming skills in Python or similar languages.

A good fit for this role may have

• A history of inventing and innovating machine learning algorithms.

• A passion for developing model architectures and empirical research.

• 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.

• 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.