Senior/Lead Machine Learning / Signal Processing Engineer - Remote

Overview

We are looking for a Senior/Lead Machine Learning / Signal Processing Engineer to spearhead the development of cutting-edge ML/DL models tailored for ultra low-power devices. You will play a key role in the end-to-end pipeline—from sensor data acquisition and signal processing to model optimization and deployment on microcontrollers.

In Short

• Design, implement, and optimize ML/DL models for ultra low-power devices.
• Collaborate with firmware developers for model integration into embedded systems.
• Process and analyze sensor data to extract meaningful features.
• Curate and manage datasets for training and testing.
• Implement model compression, quantization, and pruning techniques.
• Conduct performance analysis and benchmark models across hardware platforms.
• Mentor junior engineers and provide technical guidance.
• Work effectively in a fast-paced, cross-functional environment.
• Familiarity with C/C++ for embedded firmware development is a plus.
• Experience with ultra low-power device constraints is desirable.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field; PhD is a plus.
• 5+ years of experience in designing and deploying ML/DL models.
• Proficiency in Python and at least one deep learning framework.
• Strong understanding of signal processing algorithms.
• Experience with sensor data and data collection pipelines.
• Hands-on experience with embedded systems and microcontroller-based deployments.
• Familiarity with model optimization techniques.
• Good level of English (both written and spoken), min. B2.

Benefits

• 100% remote work.
• Opportunity to work on cutting-edge technology.
• Collaborative and innovative work environment.
• Mentorship opportunities.
• Flexible working hours.