Machine Learning Engineer, Ops
CantinaDigital Transformation company
Remote$125K - $165KSenior
Data & AI
About the role
TL;DR
Build and scale inference infrastructure for generative audio models.
- •Cantina Labs is a social AI company building advanced real-time models.
- •We are looking for an MLOps Engineer to build and scale the inference infrastructure for our generative audio models, ensuring low-latency, reliable, and scalable model serving.
- •Key Responsibilities Design and maintain inference infrastructure for generative audio model architectures.
- •Implement and manage high-performance inference engines.
- •Orchestrate service deployments using Kubernetes (K8S), implementing advanced autoscaling paradigms.
- •Develop and automate robust CI/CD pipelines for model artifacts and inference configurations.
- •Monitor production systems, establishing observability practices to track performance.
- •Requirements Deep understanding of modern audio model architectures (e.g., TTS, ASR) and their inference requirements.
- •Strong hands-on experience with Kubernetes (K8S) and container orchestration.
- •Solid background in MLOps, including CI/CD automation and managing scalable cloud infrastructure.
- •Proficiency in software engineering principles and experience with Python or Go.
- •Experience with GPU-accelerated inference and performance profiling techniques.
Required skills
PythonGoKubernetesCI/CDDocker
Domain expertise
ai
Benefits & perks
Competitive salary and generous company equity, Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina, 42 days of paid time off, Generous parental leave & fertility support, 401(k) retirement savings plan, Lifestyle spending account – $500/month to use however you’d like, Complimentary lunch and snacks for in-office employees, One Medical membership
Tech stack
PythonGoKubernetesDockerCI/CD