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Edge AI ML Engineer
Boseallaboutme
US, MA - FraminghamPosted Aug 22, 2026 · 2h ago$141k – $194k
Full-time$141k – $194kMid LevelOn-siteConsumer Tech
About this role
Bose is seeking an Edge AI ML Engineer to develop and optimize machine learning models for audio and multimodal intelligence on embedded devices. This role involves working at the intersection of ML modeling, DSP, and embedded systems to deploy efficient, production-ready algorithms on resource-constrained hardware.
What we are looking for
6- Develop and optimize ML models for edge AI applications
- Design efficient neural networks for embedded deployment
- Optimize models for resource-constrained hardware (MCUs, DSPs, NPUs)
- Deploy models to device runtimes and hardware accelerators
- Integrate ML inference into real-time firmware pipelines
- Collaborate with ML researchers, DSP experts, and hardware teams
Skills mentioned
3PythonC++Machine Learning
