Description:

Join Cantina Labs, a social AI company focused on developing advanced real-time models for storytelling and creativity.
As an MLOps Engineer, build and scale inference infrastructure for generative audio models like TTS, voice conversion, and ASR.

Requirements:

Deep understanding of modern audio model architectures (e.g., TTS, ASR) and their inference needs.
Strong experience with Kubernetes (K8S), container orchestration, and autoscaling for production workloads.
Background in MLOps, CI/CD automation, and scalable cloud infrastructure management.
Proficiency in Python or Go for infrastructure tooling and backend services.
Experience with GPU-accelerated inference and performance profiling techniques.
Familiarity with high-performance inference engines (e.g., Triton Inference Server) is a plus.

Competitive salary range of $125,000-$165,000 with generous company equity.
Comprehensive medical, dental, and vision insurance with 99.99% premium coverage.
42 days of paid time off, including PTO, sick days, and company holidays.
Generous parental leave and fertility support.
401(k) retirement savings plan and a $500/month lifestyle spending account.
Complimentary lunch and snacks for in-office employees.

Skills

Benefits