Staff Platform Engineer, MLOps - USA at Inworld AI

Mountain View, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Gaming, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

MLOpsCloud InfrastructureInfrastructure-as-CodeKubernetesHelmKustomizeCI/CD PipelinesTerraformTerragruntArgoCDGitHub ActionsAnsibleGoogle Cloud PlatformAWSAzure

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this role?

This information is not specified in the job description.

What key skills are required for this Staff Platform Engineer role?

The role requires 7 years of software engineering experience, 5 years with infrastructure-as-code, proficiency in Kubernetes (including Helm charts/Kustomize), experience with CI/CD pipelines using tools like Terraform, ArgoCD, GitHub Actions, and deep knowledge of at least one major cloud provider like GCP, Azure, or Oracle Cloud. Proficiency in backend languages such as Golang, Python, or Bash is also needed.

What is the company culture like at Inworld AI?

The role promotes a 'you build it, you run it' culture by providing tools and processes for monitoring service reliability, availability, and performance.

What experience level is needed to be a strong candidate for this position?

A strong candidate will have 7 years of software engineering experience, including 5 years with infrastructure-as-code, Kubernetes proficiency, CI/CD pipeline expertise, and deep knowledge of a major cloud provider.

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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