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Machine Learning Engineer, Ops

Type
Full-time
Work setup
On-site
Experience
Mid
Posted
Today
$125k - $165k
midpoint below market median

What engineering roles in crypto pay

214 salaries · our own data
this role$143kmedian$255k

This role pays $125k-$165k, below the $202k median for engineering roles in crypto on this board.

As a Machine Learning Engineer, Ops at Cantina Labs, you will build and scale the inference infrastructure for generative audio models, including Text-to-Speech (TTS), voice conversion, and Automatic Speech Recognition (ASR). You will design and deploy high-performance systems that ensure low-latency, reliable, and scalable model serving for both streaming and batch inference, bridging the gap between research and production.

What you'll do

  • 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 to handle varying traffic loads efficiently
  • Develop and automate robust CI/CD pipelines to streamline the testing and deployment of model artifacts and inference configurations
  • Monitor production systems, establishing observability practices to track latency, resource utilization, and overall model performance
  • Collaborate closely with research teams to optimize model serving paths and evaluate various inference strategies
  • Optimize inference performance for both streaming and batch applications

What you bring

  • A deep understanding of modern audio model architectures (e.g., TTS, ASR) and their specific inference requirements
  • Strong hands-on experience with Kubernetes (K8S), container orchestration, and implementing autoscaling strategies for production workloads
  • A solid background in MLOps, including CI/CD automation and managing scalable cloud infrastructure
  • Proficiency in software engineering principles and experience with Python or Go for infrastructure tooling and backend services
  • Experience with GPU-accelerated inference and performance profiling techniques

Nice to have

  • Familiarity with high-performance inference engines such as Triton Inference Server or vLLM-Omni

What we offer

  • Annual base salary of $125,000-$165,000 (€110,000-€145,000)
  • Generous company equity
  • Medical, dental, and vision insurance with 99.99% of premiums covered by Cantina
  • 42 days of paid time off annually, including 15 PTO days, 10 sick days, 15 company holidays, and 2 floating holidays
  • Generous parental leave and fertility support
  • 401(k) retirement savings plan
  • Lifestyle spending account of $500 per month
  • Complimentary lunch and snacks for in-office employees
  • One Medical membership

About Cantina Labs

Cantina Labs is a social AI company developing advanced real-time models for generative audio and character interactions. The flagship Cantina platform enables people to tell stories, connect, and create with AI-powered characters and voices.

Machine Learning Engineer, Ops | CryptoJobsHQ