Remote Edge AI Engineer for Audio Tech

Bose; Colorado; Remote; USD 115,000 - 158,000; Full time

Benefits offered by this job

Bonus programs

Health and welfare benefits

401(k) plan

Employee discount

Job summary

Bose Corporation is seeking a Machine Learning / AI Engineer to design, train, and optimize models for edge devices in a privacy-conscious, performance-focused environment. You will work across machine learning, software, embedded systems, and hardware teams to bring AI capabilities to audio products.

Bring a strong ML foundation, 3+ years of experience, and proficiency with Python and ML frameworks. This role offers competitive compensation, benefits, and opportunities to impact devices used

Qualifications

• 3+ years of relevant machine learning or AI experience, including research or project work.
• Solid foundation in ML & deep learning, with hands-on model building and evaluation.
• Proficiency in Python and ML frameworks (PyTorch or TensorFlow).
• Curiosity to improve models and a collaborative mindset.

Responsibilities

• Build, train, and evaluate ML models for consumer audio applications.
• Improve model efficiency to reduce latency and memory usage.
• Collaborate with software, embedded, and hardware engineers to deploy AI on devices.
• Analyze results, debug issues, and guide next experiments.
• Learn emerging ML techniques and share findings with the team.

Skills

Machine learning experience

Python programming

Analytical problem solving

Team collaboration

Education

Bachelor's degree in CS/EE/ML

Tools

PyTorch

TensorFlow

Job description

Bose Corporation is seeking a Machine Learning / AI Engineer to design, train, and optimize models for edge devices in a privacy-conscious, performance-focused environment. You will work across machine learning, software, embedded systems, and hardware teams to bring AI capabilities to audio products.

Bring a strong ML foundation, 3+ years of experience, and proficiency with Python and ML frameworks. This role offers competitive compensation, benefits, and opportunities to impact devices used