Acoustic Machine Learning Engineer

Spintellect is engineering solutions for society's biggest challenges. We are currently preparing for the highly anticipated June 2026 launch of Sonic Wrench, a revolutionary app that diagnoses engine malfunctions via acoustic fingerprinting.

About the Role

We are seeking a senior-level Machine Learning Engineer with a deep specialization in digital signal processing and acoustic analysis. In this role, you will be responsible for refining our core diagnostic algorithms to ensure maximum accuracy across diverse vehicle environments prior to our public launch.

You will work directly alongside our Lead Acoustic Engineer and software architects to parse massive datasets of engine audio, isolating mechanical anomalies from ambient noise.

Key Responsibilities

• Train and optimize neural networks for audio classification and anomaly detection.
• Process, clean, and augment large datasets of physical mechanical audio.
• Collaborate with backend engineers to deploy models into a low-latency production environment on AWS.
• Write clean, elegant, and rigorously tested code that adheres to Spintellect's elite standards.

What We're Looking For

• MS or Ph.D. in Computer Science, Electrical Engineering, or a related field (or equivalent elite-level experience).
• 3+ years of professional experience with deep learning frameworks (TensorFlow, PyTorch) specifically applied to audio/signal processing.
• Fluency in Python, C++, and edge-computing optimization techniques.
• A passion for physical engineering, cars, or mechanics is a massive plus, but not strictly required.