Staff Platform Engineer, MLOps - Canada at Inworld AI

Vancouver, British Columbia, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Gaming, TechnologyIndustries

Requirements

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

Skills

MLOps

CI/CD

CUDA

NVIDIA

ML workflows

cloud infrastructure

model monitoring

ML pipelines

Inworld AI

Creates AI non-player characters for gaming

About Inworld AI

Inworld AI develops artificial intelligence non-player characters (NPCs) for video games, focusing on creating characters with unique personalities and contextual awareness. Their technology includes features like memory, emotional intelligence, and narrative controls, allowing NPCs to learn and adapt within the game environment. Unlike competitors, Inworld AI's solutions are built by the team behind Dialogflow, ensuring they are production-ready and scalable without extra configuration. The company's goal is to enhance gaming experiences by providing developers with advanced tools for creating immersive and interactive characters.

Mountain View, CaliforniaHeadquarters

2021Year Founded

$113.8MTotal Funding

SERIES_ACompany Stage

AI & Machine Learning, GamingIndustries

51-200Employees

Benefits

Remote friendly

Flexible work hours

Unlimited PTO

Competitive compensation

Medical, dental, and mental health

Tech setup

Risks

Increased competition from companies like Antler Interactive may erode Inworld AI's market share.

AI technology replacing human roles could lead to backlash and affect Inworld AI's reputation.

Ethical concerns about AI voice generation may lead to legal challenges for Inworld AI.

Differentiation

Inworld AI offers AI NPCs with distinct personalities and contextual awareness for immersive gaming.

The company integrates safety, knowledge, memory, and narrative controls beyond large language models.

Inworld AI's technology is built by the team behind Google's Dialogflow, ensuring scalability.

Upsides

Inworld AI's multilingual support opens new markets in Asia, expanding their client base.

Collaboration with NVIDIA and Logitech G's Streamlabs highlights potential expansion into streaming.

Inworld Voice offers cost-efficient, high-quality voice options, meeting demand for dynamic experiences.

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