Machine Learning Engineer
Coders Connect are working with a high-growth audio AI company solving real-world challenges with cutting-edge ML and DSP. Their elite clients include top-tier AI labs and FAANG companies - and now they’re expanding their ML team.
We’re hiring a Machine Learning Engineer who thrives on building production-grade ML systems, pipelines, and inference infrastructure. You’ll collaborate across product and data operations to deploy scalable solutions that transform audio into insight.
What You’ll Be Doing
- Design and implement advanced ML and DSP models for speech/audio
- Build robust inference pipelines and APIs
- Work cross-functionally to improve dataset quality and model performance
- Own the ML roadmap and influence strategic direction
Requirements
What You Bring
- BSc degree in ML, data science, or engineering
- Strong applied ML experience (audio or signal processing ideal)
- Proven track record of deploying ML models in production
- Python + PyTorch expertise; cloud experience (AWS/GCP)
Ideal For: Candidates who can translate ML research into real-world impact - especially in fast-moving, high-growth
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