Machine Learning Engineer
• Mid-Level
• On-Site
• Data
Mark status as:
✨ The Role in One Sentence
ai|coustics is seeking a Machine Learning Engineer to build core algorithms for audio products, impacting real-world applications.
📋 What You'll Likely Do
40%: Design, train, and deploy deep learning models for speech enhancement.
30%: Build and refine training datasets and evaluation frameworks.
30%: Improve internal tools and infrastructure for machine learning operations.
🧑💻 Profiles Doing This Job
High Priority: 5+ years of experience building deep learning models.
High Priority: Strong expertise in audio and speech processing.
High Priority: Expert-level proficiency with PyTorch.
📈 How This Role Will Look on Your CV
Developed and deployed deep learning models for a leading Voice AI startup.