Staff MLOps Engineer, Inworld AI
CA$150-240k
+ Equity
AI-powered characters for virtual environments
Be an early applicant
AI-powered characters for virtual environments
101-200 employees
Be an early applicant
CA$150-240k
+ Equity
101-200 employees
Company mission
To redefine how people interact with technology and brands in a way that feels human.
Role
Who you are
- 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 languages such as Golang, Python, and Bash
- Familiarity with open source LLM and open source serving solution (e.g. vLLM or llama.cpp, kserve, etc) is a plus
- Experience with SLURM
- Experience with data pipeline and workflow management tools
- Experience with bare metal GPUs (optional)
What the job involves
- As a Staff Platform Engineer (MLOps), you'll work closely with backend and ML Engineering teams to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our AI Engine and Studio
- Develop, manage, and optimize the ML model lifecycle in production using the Inworld AI platform and Nvidia CUDA, implementing CI/CD systems for ML workflows, monitoring models to identify issues and inefficiencies, and designing 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
Our take
Dialogue writing for video games has traditionally been a matter of branching conversations based on player input, but this is a time-consuming and complicated process. In modern virtual environments which can contain thousands of characters, the need to save on costs means that conversations with many characters can be shallow and repetitive. Inworld AI's solution allows for the creation of unique and flexible interactions for even the most minor characters, based on just a few descriptive sentences.
As a novel application of AI to the games industry Inworld has grown rapidly, closing a seed financing round in 2021 and releasing its first product before being selected to join the 2022 Disney Accelerator. While the functionality of AI characters in a major release has yet to be tested, early signs for the company have been promising and it has attracted a major hire in John Gaeta (of Matrix fame) as Chief Creative Officer.
Inworld AI has recently closed another major round of funding, which it will use for product development and hiring. While it has yet to announce a pricing structure for its product, it is already looking at applications outside gaming and the metaverse, aiming at entertainment more broadly, sales, marketing, and education as just a few possible areas for expansion.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Aug 2023
$50m
SERIES A
Aug 2022
$50m
SERIES A
Total funding: $117m
Company benefits
- Remote friendly: Work from home in the US or Canada, or from our office in Mountain View, California. It’s up to you
- Flexible PTO: We offer flexible paid time off in the US and Canada. And we actually want you to take it! Most of us take between 3-5 weeks vacation a year
- Medical, dental, and mental health: In the US, we offer generous and comprehensive medical with mental health benefits, dental, and vision plans. We offer supplementary health benefits to Canadian employees
- Flexible work hours: As long as you attend necessary meetings, it doesn’t matter when you get your work done. Want to work at 11:00 pm? Great!
- Parental leave: Leave varies by country, but if you’re in the US, receive up to thirteen weeks off with 100% pay when you welcome a new baby to your family
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Ilya Gelfenbeyn
(Co-Founder)Previously co-founded API.AI (now known as Google Dialogflow), a developer platform for building conversational experiences, and served as its CEO before Google acquired the company in 2016. The company also built Assistant.ai, the highest-rated independent voice assistant in the world with 40M+ users. Ilya was also the Founding Head of the Google Assistant Investments program at Google.
Michael Ermolenko
(Co-Founder & CTO)Michael has extensive experience in leading AI teams and led Machine Learning Development at API.ai and the Dialogflow NLU/AI team at Google.
Kylan Gibbs
(Co-Founder & CEO)Kylan has a background in turning advanced AI into products that naturally interact with humans. They came from DeepMind, where they led products for Conversational AI and Generative Models. Prior, Kylan worked on enterprise Machine Learning projects at Bain & Company.
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