Staff MLOps Engineer Jobs

Inworld AI

Location:
Canada, Vancouver

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

190000.00 - 240000.00 CAD / Year

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Job Description:

At Inworld, we’re building the AI framework behind the next generation of real-time, immersive applications. As a Staff MLOps Engineer, you’ll design, build and scale the infrastructure that powers intelligent AI agents across massive consumer experiences while ensuring performance, reliability, and speed at every level.

Job Responsibility:

Build and scale MLOps systems to streamline the end-to-end ML model lifecycle on the Inworld AI platform, from training to deployment
Design and implement robust model training, evaluation, and release pipelines
Collaborate cross-functionally with ML and backend teams to design, deploy, and maintain scalable secure infrastructure for Inworld’s AI Engine and Studio
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
Provide technical leadership in ML engineering best practices, raise the technical bar, and mentor junior engineers in MLOps principles

Requirements:

7+ years of software engineering experience
5+ years of 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 languages such as Golang, Python, and Bash
Knowledge of SLURM or similar job schedulers for distributed training
Experience with data pipeline and workflow management tools
Desire to work at a fast-growing Series A startup, comfortable with uncertainty, owning and scaling new products, and embracing an experimental and iterative development process

Nice to have:

Familiarity with open source LLM and open source serving solution (e.g. vLLM or llama.cpp, kserve, etc)
Experience with bare metal GPUs

What we offer:

equity
benefits

Additional Information:

Job Posted:
December 09, 2025

Employment Type:

Fulltime

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Staff MLOps Engineer