Lead On-Device Audio ML Engineer

Hark; San Jose (CA); On-site; USD 120,000 - 300,000; Full time

Job summary

Hark is looking for a Lead Audio ML Engineer in San Jose, California, responsible for implementing, training, and deploying audio models across consumer products. You'll work with cross-functional teams to deliver audio intelligence features at scale.

The ideal candidate has over 3 years of experience in audio ML models, proficiency in PyTorch or TensorFlow, and hands-on experience with embedded targets. This role offers a competitive salary and engaging work in AI innovation.

Qualifications

• 3+ years of professional experience building and shipping audio or speech ML models.
• Strong fluency in PyTorch or TensorFlow.
• Hands-on experience deploying models to embedded targets.

Responsibilities

• Implement and train audio models for various audio detection tasks.
• Take models from research prototype to on-device deployment.
• Build and maintain training data pipelines.

Skills

Audio or speech ML models

PyTorch

TensorFlow

Audio deep learning toolchains

Audio signal processing

Job description

Hark is looking for a Lead Audio ML Engineer in San Jose, California, responsible for implementing, training, and deploying audio models across consumer products. You'll work with cross-functional teams to deliver audio intelligence features at scale.

The ideal candidate has over 3 years of experience in audio ML models, proficiency in PyTorch or TensorFlow, and hands-on experience with embedded targets. This role offers a competitive salary and engaging work in AI innovation.