Company published in 1997, was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now company expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Company's superpower is to deliver all of this under one roof on a global scale.
We are looking for a Senior or 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.
Key Responsibilities
• ML/DL Model Development
• Design, implement, and optimize ML/DL models for ultra low-power devices, focusing on efficient use of limited resources.
• Collaborate with firmware developers to integrate models into embedded systems. Signal Processing & Feature Extraction
• Process and analyze sensor data (e.g., accelerometers, GPS) to extract meaningful features and insights.
• Leverage advanced signal processing techniques and algorithms to improve data quality and model accuracy. Data Collection & Management.
• Curate and manage datasets, ensuring data quality and relevance for training and testing.
• Oversee data collection processes, coordinate sensor setups, and validate incoming data for consistency and accuracy. Model Optimization.
• Implement and maintain model compression, quantization, and pruning techniques for microcontrollers.
• Conduct performance analysis and benchmark models across different hardware platforms.
Collaboration & Leadership
• Work closely with firmware developers to ensure smooth model integration and real-time deployment.
• Mentor junior engineers, provide technical guidance, and help shape the overall ML roadmap.
Qualifications Education & Experience
• 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, with a strong emphasis on signal processing.
• Good level of English (both written and spoken), B2+.
Technical Skills
• Proficiency in Python and at least one deep learning framework (e.g., TensorFlow, PyTorch).
• Strong understanding of signal processing algorithms (Fourier transforms, filtering, denoising, feature extraction).
• Experience with sensor data (accelerometers, GPS) and data collection pipelines.
• Hands-on experience with embedded systems and microcontroller-based deployments.
• Familiarity with model optimization techniques such as quantization, pruning, and knowledge distillation.
• Comfortable with Git, CI/CD pipelines, and version control best practices.
Soft Skills
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Ability to work effectively in a fast-paced, cross-functional environment.
Nice to Have
• Familiarity with C/C++ for embedded firmware development.
• Experience with ultra low-power device constraints and power management techniques.
• Prior contributions to open-source ML or signal processing projects.
• Knowledge of hardware design and sensor fusion techniques.
- Location: Poland
- 100% remote work
