Senior ML Engineer
Posted 3 months ago Expired
This job has expired
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Upload Your ResumeAbout This Role
Join Amplifier Health as a Senior ML Engineer to build the serving infrastructure for our Large Acoustic Model, focusing on optimizing inference, pipeline architecture, and Kubernetes cluster management. You'll work on a product that detects health conditions using human voice, contributing to a mission to save lives at scale.
Responsibilities
- Own the serving infrastructure to process millions of voice biomarkers efficiently
- Optimize inference for large transformer models using TensorRT, ONNX, and quantization techniques
- Build CI/CD pipelines for ML models, ensuring seamless deployment from research to production
- Manage Kubernetes clusters and GPU resources, prioritizing compute efficiency
Requirements
- Experience with distributed systems engineering
- Fluency in Kubernetes, Docker, and Terraform
- Ability to profile models, identify bottlenecks, and optimize for CPU and GPU bound tasks
- Experience writing robust, testable, production-grade code (Python/Go/C++)
Skills
* Required skills
Benefits
About Amplifier Health
We are Amplifier, and we have built the world's first Large Acoustic Model (LAM), a foundation model that uses human voice to detect health conditions.