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# Machine Learning / AI Engineer

- **Company:** Bose
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $115,000.0 - $158,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Software Debugging, Python (Programming Language), Machine Learning, Software Tools, Tensorflow, Model Compression, Speech Recognition, Pytorch, Discretization, Information Technology, Deployment Automation, ONNX (Open Neural Network Exchange) Format, Embedded AI, Machine Learning Operations
- **Published:** November 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f1d3ebdbdaf1275e

## About the Role

* A bachelor's or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or a related technical field.
 * 3+ years of relevant machine learning or AI experience, which may include applicable research or substantial project work.
 * A solid foundation in machine learning and deep learning, with hands-on experience building and evaluating models.
 * Proficiency in Python and experience with a framework such as PyTorch or TensorFlow.
 * Experience training, evaluating, and debugging models-and curiosity about how to make them better.
 * An analytical approach to problem-solving, a willingness to ask questions, and enthusiasm for working with others.

Experience That Can Help You Stand Out

You don't need experience in every area below. We're interested in the strengths you bring and what you're excited to learn.

 * Techniques such as quantization, pruning, or model compression.
 * Edge ML, embedded AI, or deploying models on devices with limited computing resources.
 * C/C++ or deployment tools such as ONNX or TensorFlow Lite.
 * Audio ML, speech processing, acoustic sensing, or related applications.
 * Emerging AI technologies and AI-assisted engineering tools.

## Description

You'll help design, train, test, and optimize machine learning models, with a focus on making AI work efficiently on devices with limited memory and computing power. This work brings together Efficient AI and Edge ML: building models that deliver strong results within the constraints of real products.

You'll collaborate with engineers across machine learning, software, embedded systems, and hardware. Along the way, you'll deepen your technical expertise, contribute your ideas, and learn how models move from experimentation toward deployment.

What You'll Do

 * Build and experiment. Develop, train, and evaluate machine learning models for consumer audio applications.
 * Make models more efficient. Explore ways to improve accuracy while reducing latency, memory use, and computational demands.
 * Connect models to products. Partner with software, embedded, and hardware engineers to help bring AI capabilities onto devices.
 * Investigate and improve. Analyze results, debug issues, and use testing to guide your next experiment.
 * Learn and contribute. Explore emerging ML techniques, share what you discover, and bring fresh ideas to the team.