Job Description

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Inworld is the leading provider of AI technology for real-time interactive experiences, with a $500 million valuation and backing from top tier investors including Intel Capital, Microsoft’s M12 fund, Lightspeed Venture Partners, Section 32, BITKRAFT Ventures, Kleiner Perkins, Founders Fund, and First Spark Ventures. Inworld provides the market’s best framework for building production ready interactive experiences, coupled with dedicated services to optimize specific stages of development – from design and development, to ML pipeline optimization and custom compute infrastructure. We help developers bring their AI engines in-house with a framework optimized for real-time data ingestion, low latency, and massive scale. Inworld powers experiences built by Ubisoft, NVIDIA, Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft Xbox, Epic Games, and Unity. Inworld was recognized by CB Insights as one of the 100 most promising AI companies in the world in 2024 and was named among LinkedIn's Top Startups of 2024 in the USA.

This role involves designing, deploying, and maintaining reliable, high-performance, and secure cloud infrastructure for the Inworld AI Engine and Studio.

Requirements

• Experience: 7 years of experience in software engineering.
• Infrastructure-as-Code: 5 years of experience with infrastructure-as-code.
• Kubernetes: Proficiency in managing Kubernetes clusters and applications, including creating Helm charts/Kustomize manifests for new applications.
• CI/CD Pipelines: Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.).
• Cloud Provider: Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud).
• Programming Languages: Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash.

Responsibilities

• Develop, manage, and optimize the ML model lifecycle in production using the Inworld AI platform and Nvidia CUDA.
• Implement CI/CD systems for ML workflows.
• Monitor models to identify issues and inefficiencies.
• Design MLOps tools and frameworks to enhance automation and efficiency.
• Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services.
• Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment.
• Identify and implement opportunities to enhance engineering speed and efficiency.
• Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence.
• Develop and share best practices to improve automation and efficiency across our engineering teams.

Company Information

• Company: Inworld
• Industry: AI Technology
• Valuation: $500 million
• Recognition: CB Insights - 100 most promising AI companies in 2024, LinkedIn's Top Startups of 2024 in the USA
• Partnerships: Microsoft Xbox, Epic Games, Unity