Machine Learning Engineer developing advanced Deep Learning models for autonomous driving technology at Mobileye. Collaborating in a high - end algorithmic engineering team on critical computer vision challenges.
BT
Hybrid Machine Learning, Signal Processing Scientist
Posted yesterday
About the role
- Machine Learning & Signal Processing Scientist at BlueGreen Water Technologies analyzing multi-source environmental data. Focused on developing algorithms and models for signal processing and machine learning techniques.
Responsibilities
- Process and analyze multi-source sensor data, with a strong focus on noise reduction and signal quality improvement
- Develop and apply time series models to characterize and predict signal behavior
- Design and implement machine learning and deep learning models (e.g., CNNs, RNNs) for spatial and temporal signal analysis
- Build algorithms for detection, classification, and quantification of physical phenomena
- Validate models against real-world data and ensure scientific robustness
- Communicate results clearly through visualizations, reports, and presentations to technical and non-technical stakeholders
- Collaborate closely with cross-functional teams to refine and deploy solutions
Requirements
- 3+ years of experience in signal processing and machine learning
- Strong expertise in: Noise filtering and signal enhancement
- Time series analysis and modeling
- Experience with machine learning and deep learning frameworks
- Familiarity with multi-source sensor data (satellite, drone, or in-situ measurements)
- Experience with remote sensing data, including multispectral and hyperspectral imagery
- Strong programming skills in Python (or equivalent)
- Excellent problem-solving skills and attention to detail
- Advantage: Experience with generative AI or advanced representation learning
- Advantage: use of AI/ML Agents (Claude Code) for enhancing productivity
- Background in geospatial analysis or environmental data
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