MLOps Engineer
Trunk Tools$140,000 - $200,000/year
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Gaming, BiotechnologyIndustries
Requirements
Candidates should possess 7 years of experience in software engineering and 5 years of experience with infrastructure-as-code, along with proficiency in managing Kubernetes clusters and applications, including creating Helm charts/Kustomize manifests. Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, or Oracle Cloud) is required, as well as proficiency in at least one backend programming/scripting language such as Golang, Python, and Bash.
Responsibilities
As a Staff Platform Engineer (MLOps), you will 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. You will facilitate a
Skills
MLOps
Cloud Infrastructure
Infrastructure-as-Code
Kubernetes
Helm
Kustomize
CI/CD Pipelines
Terraform
Terragrunt
ArgoCD
GitHub Actions
Ansible
Google Cloud Platform
AWS
Azure
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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