Machine Learning Engineer, Ops

What this role involves

Cantina Labs is seeking an MLOps Engineer to build and scale inference infrastructure for generative audio models like TTS and ASR. The role involves designing high-performance systems for low-latency model serving, managing Kubernetes deployments, and collaborating with research teams. Compensation ranges from $125,000 to $165,000 annually.

Skills this posting asks for

• kubernetes
• container orchestration
• autoscaling
• ci/cd
• python
• go
• gpu-accelerated inference
• performance profiling
• triton inference server
• vllm-omni
• tts
• asr
• audio model architectures
• mlops
• cloud infrastructure
• inference engines

Requirements

• Level: mid

From the employer’s posting

About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our…