Senior Machine Learning Engineer

A technology-driven organisation in Taiwan seeks a Senior Machine Learning Engineer to develop sensor-based ML algorithms and systems for innovative products in a collaborative environment.

Key responsibilities:

As a Senior Machine Learning Engineer, you will develop and deploy sensor-based ML pipelines using Python/MATLAB and C/C++, collaborating across cross-functional teams.

Core Technical Work

• Design, implement, and optimise sensor signal processing pipelines (e.g., PPG, IMU, GPS, barometric pressure, etc.)
• Apply DSP, image processing, or data analysis techniques to extract meaningful features from noisy signals
• Use ML/DL frameworks (e.g., TensorFlow, PyTorch) when needed to build data-driven models and improve prediction accuracy
• Prototype using Python/MATLAB, then implement production-ready high-performance solutions in C/C++

System Integration & Quality

• Package algorithms into reusable modules and collaborate with hardware/software teams to ensure system stability
• Build automated testing frameworks (Unit Test / Integration Test) to ensure algorithm robustness across dynamic scenarios
• Work with firmware teams to deploy algorithms on embedded platforms and optimise performance
• Continuously monitor real-world algorithm performance and iterate models based on field data

Research & Collaboration

• Stay up to date with academic and industry trends, and introduce innovative methods into product development
• Collaborate with cross-functional teams (hardware, software, product) and produce clear technical documentation and performance reports

Candidate profile:

To excel in this role, you bring experience in sensor algorithms, C/C++ or Python proficiency, DSP/image processing knowledge, system integration skills, and a collaborative development mindset.

• Education: Degree in Computer Science, Electronic/Electrical Engineering, Automatic Control, Biomedical Engineering (Signal Processing track), or related fields. Equivalent practical experience is also accepted.
• Experience: 6–8 years in signal processing, algorithm development, or related fields (biomedical background not required; imaging, audio, communications, or sensing experience all welcome)
• Programming: Proficient in C/C++ or Python (either is acceptable), with strong coding style and debugging skills
• Signal Processing Foundation: Hands-on experience in at least one area such as DSP, image processing, algorithm design, or data analysis
• System Integration: Experience integrating algorithm or software modules into full product systems, understanding interfaces, dependencies, and system behaviour
• End-to-End Development: Participation in full lifecycle development from requirement analysis, design, implementation, testing, to deployment
• Communication: Strong cross-team collaboration skills and ability to read technical English documentation

Nice to have

• Experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, MATLAB) and AI-assisted development tools
• Embedded firmware development on MCU/ARM/RISC-V platforms with hardware or system integration background
• Experience in wearables, medical devices, or IoT products across full 0→1 product lifecycle
• Big data or large-scale sensor data processing experience, with relevant publications or patents as a plus
• Passion for sports (running, cycling, swimming) with ability to translate user experience into product insights

About the company:

A technology-driven organisation in the wearable and health innovation space welcomes engineers from diverse signal processing backgrounds and offers a data-driven, collaborative environment focused on innovation, continuous learning, and impactful product development.

Keywords: sensor signal processing, machine learning, deep learning, data analysis, Python, C++

What’s next:

Apply now to join a team driving innovation in wearable health technology!