ML Infra/Systems Engineer
on-site•Seattle•$250k - $450k
About this role
What we're looking for?
We are seeking an experienced ML Infrastructure/Systems Engineer with at least 2 years of full-time experience in building and maintaining production-level ML systems. You should be comfortable designing scalable infrastructure from scratch, making informed design decisions by comparing various technologies, and have a track record of optimizing systems for latency, throughput, and cost. We're looking for someone with a broad understanding of the ML infra space, including inference infrastructure, real-time video streaming, and data engineering, who can own complex projects and debug distributed systems.
What you'll do:
- Own and build the serving stack for our multimodal AI workloads, optimizing for latency, throughput, and cost.
- Architect and manage systems for real-time, long-lived WebRTC connections to ensure smooth video and audio delivery.
- Build and orchestrate robust data pipelines for large-scale offline processing, evaluation, and training using frameworks like Dagster or Ray.
- Configure, maintain, and optimize our GPU clusters using Kubernetes and Terraform.
- Develop CI/CD, evaluation, and versioning systems to enable safe, zero-downtime model deployments and rapid iteration.
- Work closely with ML researchers and product engineers to build the foundational infrastructure that powers our visual conversational AI.
About Nuance Labs
Nuance Labs is building visual conversational AI that feels human. We are powering new user experiences where users can jump on a video chat with an AI.
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Frequently Asked Questions
What does Nuance Labs pay for a ML Infra/Systems Engineer?
Nuance Labs offers a competitive compensation package for the ML Infra/Systems Engineer role. The salary range is USD 250k - 450k per year. Apply through Clera to learn more about the full compensation details.
What does a ML Infra/Systems Engineer do at Nuance Labs?
The ML Infra/Systems Engineer role at Nuance Labs involves What we're looking for? We are seeking an experienced ML Infrastructure/Systems Engineer with at least 2 years of full-time experience in building and maintaining production-level ML systems.
Is the ML Infra/Systems Engineer position at Nuance Labs remote?
The ML Infra/Systems Engineer position at Nuance Labs is based in Seattle, United States and is on-site. Contact the company through Clera for specific work arrangement details.
How do I apply for the ML Infra/Systems Engineer position at Nuance Labs?
You can apply for the ML Infra/Systems Engineer position at Nuance Labs directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.