Hybrid Embedded Audio ML Engineer Co‑op

Bose Corporation

Framingham (MA)

Híbrido

USD 55.000 - 70.000

Jornada completa

Hace 5 días
Sé de los primeros/as/es en solicitar esta vacante

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Bonus programs
Health and welfare benefits
401(k) plan
Employee discount
Hybrid work model

Descripción de la vacante

Bose Corporation in Framingham, Massachusetts invites talented students to join our six-month Embedded Audio ML Engineer Co-op, applying classroom learning to real-world audio ML on wearables and consumer devices.

The Spring Co-op runs January through July 2027, full-time (40 hours per week) in a hybrid, in-office format with no relocation assistance, offering hands-on experience deploying and optimizing ML for resource-constrained hardware.

Formación

  • Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field.
  • Strong proficiency in C/C++ for embedded systems.
  • Proficiency in Python for model conversion, evaluation, or tooling workflows.
  • Experience implementing deep neural networks with PyTorch, TensorFlow, or similar frameworks.
  • Proven cross-group and cross-culture collaboration skills.
  • Creative problem-solver with demonstrated ability to work independently.

Responsabilidades

  • Build embedded software prototypes to demonstrate new ML-powered audio features on wearables.
  • Design, implement, deploy and optimize deep learning models, data structures and algorithms on resource-constrained devices.
  • Research, design and implement methods for efficient deep learning (quantization, pruning, NAS, distillation) focused on audio problems.
  • Train and evaluate deep learning models to enable new experiences on headphones, earbuds, soundbars, and portable speakers.
  • Evaluate neural network hardware accelerators for low-power wearables and communicate tradeoffs to leadership.

Conocimientos

C/C++ (embedded)
Python
PyTorch
TensorFlow
Cross-team collaboration
Independent problem-solving

Educación

MS or PhD in Computer Science, Electrical Engineering, or ML

Herramientas

Embedded toolchains
Edge deployment tooling

Descripción del empleo

Bose Corporation in Framingham, Massachusetts invites talented students to join our six-month Embedded Audio ML Engineer Co-op, applying classroom learning to real-world audio ML on wearables and consumer devices.

The Spring Co-op runs January through July 2027, full-time (40 hours per week) in a hybrid, in-office format with no relocation assistance, offering hands-on experience deploying and optimizing ML for resource-constrained hardware.

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