Machine Learning And Dsp Research Intern

Bose Corporation

Hybrid
Machine learning and dsp knowledge
Python or matlab programming
Tensorflow or pytorch backend
The role focuses on developing novel solutions for noise cancellation in cars by leveraging advances at the intersection of ML and noise control

Job Summary

  • The role focuses on developing novel solutions for noise cancellation in cars by leveraging advances at the intersection of ML and noise control.
  • Candidates will work within the Advanced Systems Research group to design and validate new algorithms that improve performance, customization, and scalability.
  • This position offers a direct impact across the automotive division by delivering deployable models using hybrid DSP-ML techniques.

Matching Summary

The role focuses on developing novel solutions for noise cancellation in cars by leveraging advances at the intersection of ML and noise control.

Skills & Requirements

Must-have

  • Machine Learning and DSP knowledge
  • Python or MATLAB programming
  • TensorFlow or PyTorch backend
  • Noise control algorithm design
  • Hardware model deployment experience

Nice-to-have

  • Strong communication skills
  • Published research articles
  • Modularizing classical DSP solutions
  • Collaborative team environment
  • Interest in audio technology innovation

Key Requirements

  • Masters degree in Engineering or Computer Science
  • Background in Digital Signal Processing
  • Doctoral degree preferred (3rd year PhD)

Work Rights

Not specified

Tailored Resume

Cover Letter