Remote Edge ML Engineer — On-Device Audio AI

Bose Corporation, U.S.A; Massachusetts; Hybrid; USD 115,000 - 158,000; Full time

Job summary

Bose Corporation is seeking a skilled ML engineer to design, train, test, and optimize models for edge devices in consumer audio applications. You will collaborate with software, embedded, and hardware teams to deploy efficient AI across Bose devices.

The role emphasizes quantization, pruning, and deploying models on devices with limited compute, memory, and power. A strong ML foundation and Python proficiency are essential, with experience in PyTorch or TensorFlow.

Qualifications

• 3+ years of ML or AI experience.
• Bachelor’s or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or related field.
• Proficiency in Python and frameworks such as PyTorch or TensorFlow.

Responsibilities

• Build and experiment with ML models for consumer audio apps.
• Develop, train, and evaluate ML models.
• Make models more efficient (latency, memory, compute).
• Explore methods to improve accuracy while reducing demands.
• Connect models to Bose products and devices.
• Collaborate with software, embedded, and hardware teams to deploy AI.
• Analyze results, debug issues, and guide next experiments.
• Share insights and explore new ML techniques with the team.

Skills

Python

PyTorch

TensorFlow

Machine learning

Debugging models

Analytical thinking

Education

CS/EE/ML degree

Tools

ONNX

TensorFlow Lite

Job description

Bose Corporation is seeking a skilled ML engineer to design, train, test, and optimize models for edge devices in consumer audio applications. You will collaborate with software, embedded, and hardware teams to deploy efficient AI across Bose devices.

The role emphasizes quantization, pruning, and deploying models on devices with limited compute, memory, and power. A strong ML foundation and Python proficiency are essential, with experience in PyTorch or TensorFlow.