LeadSenior MLCV Engineer
LeadSenior MLCV Engineer
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Job Description
blished in 1997 Softeq 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 weve expanded to offer earlystage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So lets get started and build a better future together!
We are looking for a Senior/Lead Machine Learning / Signal Processing Engineer to spearhead the development of cuttingedge ML/DL models tailored for ultra lowpower devices. You will play a key role in the endtoend pipelinefrom sensor data acquisition and signal processing to model optimization and deployment on microcontrollers.
Location: Poland (B2B contract directly with Softeq 100% remote work)
Key Responsibilities
ML/DL Model Development
Design implement and optimize ML/DL models for ultra lowpower 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 realtime deployment.
Mentor junior engineers provide technical guidance and help shape the overall ML roadmap.
Qualifications Education & Experience
Bachelors or Masters 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) min. 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.
Handson experience with embedded systems and microcontrollerbased 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 problemsolving skills and attention to detail.
Strong communication and collaboration abilities.
Ability to work effectively in a fastpaced crossfunctional environment.
Nice to Have
Familiarity with C/C for embedded firmware development.
Experience with ultra lowpower device constraints and power management techniques.
Prior contributions to opensource ML or signal processing projects.
Knowledge of hardware design and sensor fusion techniques.
Employment Type
Full Time
