BOSE Remote Jobs USA 2024 | Machine Learning Research Co-Op

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About BOSE Remote Jobs USA 2024

Bose Corporation was founded in 1964 by Dr. Amar G. Bose, then a professor of electrical engineering at the Massachusetts Institute of Technology.

Today, the company is driven by its founding principles, investing in long-term research with one fundamental goal: to develop new technologies with real customer benefits.

Bose innovations have spanned decades and industries, creating and transforming categories in audio and beyond. Bose products for the home, in the car, on the go and in public spaces have become iconic, changing the way people listen to music.

BOSE Remote Jobs USA 2024 Details

Company NameBOSE
Job RoleMachine Learning Research Co-Op
Job TypeFull Time
Job LocationRemote US
EducationBachelor Degree/M.S. or PhD
Career LevelEntry Level
SalaryNot Mentioned

Job Description For BOSE Remote Jobs USA 2024

We are looking for an ambitious machine learning research co-op to join our research lab this summer and fall. Depending on your skillsets and research areas, you may help build deep learning models to enable novel experiences on our wearable products, help optimize deep learning models on cutting-edge hardware, or do both! The duration of this position is 6 months starting July 2024 (full-time 40 hours/week).

  • Develop, train, and evaluate deep learning algorithms with a focus on audio and other time-series data (e.g., accelerometers).
  • Optimize deep learning models for deployment on low-power edge devices.
  • Research, implement and evaluate a variety of published approaches and algorithms for problems in audio ML and tinyML.

Minimum Qualification

  • Recent graduate or currently is in the process of obtaining a M.S. or PhD in computer science, electrical engineering, machine learning, music technology, human-computer interaction, or related field. 
  • Strong programming background with 3+ years of experience in Python.
  • Familiar with latest research in deep learning and ability to implement published algorithms.
  • Strong experience in implementing deep neural networks with Tensorflow, Keras, PyTorch, etc. 
  • Experience with cross-group and cross-culture collaboration. 
  • High levels of creativity and quick problem-solving capabilities.

Preferred Qualification

  • Familiar with latest research in deep learning on the edge (e.g., quantization, neural architecture search, efficient model architectures.)
  • Solid understanding and experience working with audio and digital signal processing.
  • Strong publication record in relevant venues (e.g., ICML, ISCA, ICASSP, UIST, IMWUT) demonstrating innovative research.

BOSE Remote Jobs USA 2024 Application Process

  • Eligible candidates are advised to open online Apply Link ( Link given bellow).
  • This link will open on new tab on your browser
  • Read carefully above job description and double click to apply online
  • Fill all your academic qualification, skill experience and other mandatory details.
  • Upload your resume.
  • Check the details before submitting.
  • If you are shortlisted, details will be shared through e-mail or phone call
  • interview and Venue details also will be shared to shortlisted candidates through e-mail.
  • Note : Apply the job before link Expires

We wish you the best of luck in your BOSE Remote Jobs USA 2024. May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work.

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