Machine Learning And Dsp Research Intern

Bose Corporation

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

Job Summary

  • This role involves developing novel solutions for noise cancellation in cars by leveraging advances at the intersection of ML and noise control.
  • The selected candidate will design and validate new algorithms to improve performance, customization, scalability, and generalizability of deployed solutions.
  • Part of the work may involve collaborating with the team to deploy models on hardware within the Automotive Active Sound Management space.

Matching Summary

This role involves 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
  • Literature review capabilities
  • Modularizing classical DSP solutions

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