Competitive Salary – Leading Edge Audio Research
Our client is a fast-growing audio AI product company building cutting-edge machine learning technology that enhances how people experience sound across digital platforms. Their flagship products use ML and signal processing to deliver real-time audio quality improvements at scale — deployed across cloud, edge and embedded environments.
The role
A high-impact MLOps role owning end-to-end ML pipelines — from data through training, evaluation and deployment. You’ll work closely with audio ML researchers and DSP engineers to move models into production, implement monitoring, build CI/CD pipelines and ensure reproducibility across the full model lifecycle. There is also a mentoring element, helping establish engineering standards across a small ML team.
What they’re looking for
- Proven experience building and operating production ML systems
- Strong Python and ML frameworks (PyTorch, TensorFlow)
- MLOps, CI/CD and model lifecycle management
- Cloud platforms (AWS, GCP or Azure) and containers / Kubernetes
- Experience with low-latency or real-time systems; familiarity with audio or speech processing a plus
- Mentoring or technical leadership experience desirable
If you’re interested, apply now or reach out to Charles Duran at IC Resources.
7710 N FM 620, Bldg. 13-d, Austin. Texas 78726
#J-18808-Ljbffr…