Machine Learning Engineer
Bose Corporation1 day ago
Framingham, MA, USAMid Level
Base Salary
$141k - $194k/yr
Responsibilities
- Design, train, evaluate, and optimize machine learning models for consumer audio products.
- Apply efficient ML techniques including quantization, pruning, knowledge distillation, model compression, and efficient model architectures.
- Deploy and integrate models on resource-constrained platforms including DSPs, NPUs, microcontrollers, and ARM-based systems.
- Analyze deployment feedback and iterate on model architectures and training methodologies.
- Adapt models to constraints involving unsupported operators, data types, memory, latency, compute, and power consumption.
- Profile performance across accuracy, latency, memory footprint, model size, compute efficiency, and power usage.
- Develop workflows for model training, conversion, compilation, simulation, validation, and performance analysis.
- Collaborate with machine learning, embedded software, DSP, hardware, compiler, and product engineering teams.
- Evaluate emerging ML technologies and AI-assisted engineering tools.
- Document experiments, technical findings, deployment learnings, and reusable engineering practices.
- Mentor interns and co-op engineers.
Requirements
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, Machine Learning, or a related field.
- Strong foundation in machine learning and deep learning, including model architecture design, training, evaluation, and optimization.
- Working knowledge of efficient ML techniques and their effects on accuracy, latency, memory, compute, and deployment compatibility.
- Proficiency with deep learning frameworks such as PyTorch, TensorFlow, or similar.
- Strong Python programming, debugging, and problem-solving skills.
- Working knowledge of C/C++ and the ability to collaborate with embedded and production systems engineers.
- Understanding of Edge ML concepts and resource constraints involving computation, memory, latency, and power.
- Ability to troubleshoot issues across training, conversion, deployment, and integration workflows.
- Hands-on experience with quantization-aware training, post-training quantization, pruning, operator replacement, or hardware-aware optimization is preferred.
- Experience deploying models on edge devices, DSPs, NPUs, mobile, wearable, or other resource-constrained systems is preferred.
- Familiarity with TensorFlow Lite, TensorFlow Lite Micro, ONNX Runtime, TVM, MLIR, or vendor-specific SDKs is preferred.
- Experience with audio ML, speech processing, acoustic sensing, or multimodal audio models is preferred.
- Familiarity with LLM- or agent-based engineering workflows and AI-assisted engineering tools is preferred.
Benefits
- Hybrid work arrangement.
- Hiring range for the primary Framingham, Massachusetts location is $141,000-$193,950.
- Bonus programs and comprehensive health and welfare benefits.
- 401(k) plan, exclusive wellbeing perks, and employee discount.
Categories
About Bose Corporation
Bose Corporation builds consumer speakers, soundbars, and noise‑cancelling headphones; professional and aviation headsets; and OEM automotive audio systems. It sells direct online and in retail, and supplies audio technology to carmakers through manufacturing partners. Founded in 1964 and privately held, Bose is headquartered in Framingham, Massachusetts, and operates globally across home, portable, automotive, and enterprise audio markets.