Senior Embedded ML Engineer

TL;DR

Senior Embedded ML Engineer (Embedded/AI): Developing and optimizing machine learning inference engines for microcontrollers with an accent on model performance and resource efficiency. Focus on deploying LLM, TensorFlow, and PyTorch models onto low-power, memory-constrained embedded devices.

Location: Beijing (Onsite)

Company

hirify.global is a global leader in secure connectivity solutions for embedded applications.

What you will do

• Develop and optimize ML inference engines for microcontrollers.
• Train and fine-tune models using LLM, TensorFlow, and PyTorch for resource-constrained hardware.
• Experiment with performance optimization techniques for low-power and memory-limited devices.
• Collaborate with cross-functional teams to integrate ML solutions into embedded systems.
• Conduct research on emerging machine learning techniques for embedded applications.
• Stay current with industry advancements by analyzing technical research papers.

Requirements

• Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Strong experience with LLM, TensorFlow, and PyTorch for model training and deployment.
• Proficiency in C, C++, and Python.
• Extensive experience in embedded software development and machine learning.
• English proficiency required for reading and understanding technical research papers.
• Strong problem-solving skills and collaborative mindset.

Nice to have

• Proven experience deploying ML models to embedded devices.
• Familiarity with embedded systems, microcontrollers, and RTOS.
• Deep understanding of software development life cycles and embedded best practices.
• Expertise in optimization techniques for low-power and low-latency models.