Machine Learning Engineer

Job Title:Junior : Machine Learning Engineer

Position Type: Full time

Location: San Jose, CA

Team: Engineering

Salary Range: $200k +

Job Description:

We are looking for Machine Learning Engineer

Responsibilities

• Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
• Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
• Work closely with hardware and software teams to integrate ML models into production systems.
• Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.
• Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.
• Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
• Provide technical leadership and mentorship to junior engineers.
• Publish research findings, present at conferences, and contribute to open-source projects when applicable.

Requirements

• 5+ years of relevant industry experience (or a PhD) in Computer Science, Electrical Engineering, Machine Learning, or related fields.
• Strong hands-on experience in machine learning, with a focus on edge AI, on-device inference, and deploying lightweight models on resource-constrained devices.
• Expertise in modern ML frameworks such as PyTorch, TensorFlow (including TensorFlow Lite), and JAX.
• Proficiency in Python and C/C++, with practical experience in ML model optimization and production deployment.
• Deep experience with model quantization (PTQ/QAT), pruning, knowledge distillation, sparsity, and other compression techniques for efficient edge inference.
• Hands-on experience developing for or integrating with AI chip SDKs, neural accelerators (NPUs/DSPs), or hardware-specific toolchains (e.g., NVIDIA TensorRT, Qualcomm Neural Processing SDK, ARM Ethos, or similar).
• Familiarity with edge inference runtimes (ONNX Runtime, ExecuTorch, TVM) and optimizing models for hardware constraints (latency, memory footprint, power consumption).

Nice to Have

• Understanding of ML compiler and runtime design.
• Experience working with tools such as Optimum, ONNX, TensorRT, TFLite/LiteRT, ncnn, or CoreML.
• Familiarity with hardware acceleration techniques.
• Experience in embedded system development.

About IntelliPro:

Founded in 2009, IntelliPro Group is a global talent and business solutions provider serving clients in over 160 countries, including the U.S., China, Canada, Singapore, Japan, the U.K., and the EU. We specialize in connecting exceptional talent with high-growth industries such as semiconductors, AI/ML, automation, and manufacturing technology . At IntelliPro, we are committed to helping our partners achieve success through innovation, collaboration, and integrity. As an Equal Opportunity Employer , IntelliPro values diversity and inclusion and ensures a fair and accessible hiring process for all applicants.

Learn more about us at https://intelliprogroup.com