AI/ML Data Engineer

Why Join Inworld

Inworld is a developer platform for building AI characters. We go beyond large language models (LLMs) and add performance, configurable safety, knowledge, memory, narrative controls, multimodality, and more. We’re focused on enabling character-based interactions for immersive experiences like video games, brand activations, and training simulations. 

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. Our 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. 

Inworld AI is funded by top-tier investors, including Kleiner Perkins, Intel, Microsoft, and Founders Fund, and a team of all-star angels - corporate executives, top VC funds' partners, and industry veterans from Riot Games, Twitch, and Oculus.

We are looking to hire an ML/AI Data Engineer, Senior level and higher, to work on designing and implementing data pipelines and data infrastructure that will support the development of high-quality AI characters. If you're passionate about data engineering, AI, and enjoy working in a fast-paced, dynamic environment, we would love to hear from you.

Responsibilities

• Design and implement data pipelines for information retrieval, data processing, and data transformation

• Collect and curate large text and audio datasets

• Develop and maintain data storage, including databases and data warehousing

• Continuously monitor and optimize the performance of the data infrastructure

Requirements

• BA/BS degree or higher in Computer Science, Engineering, or a similar technical field

• 3+ year experience in data engineering with a focus on machine learning and AI

• Strong programming skills (Python, Java, or equivalent)

• Expertise in SQL and NoSQL databases

• Familiarity with big data platforms such as Ray, Spark, or others.

• Experience with cloud providers (GCP, Azure, or AWS,) is a plus