Responsibilities

• Design, improve and implement complex machine learning models and algorithms processing raw radar sensor data and other sensor data to address customer business needs

• Manage the ML data pipeline, including data collection, extraction, validation, and preprocessing

• Format, restructure, or validate datasets to ensure high data quality, and readiness for analysis

• Develop robust data preprocessing methods to enhance model accuracy and efficiency

• Analyze extensive datasets to identify trends and patterns and interpret them

• Build the foundation for highly scalable data collection and analytics

• MSc/PhD in Data Science, Mathematics, Computer Science or related field

• Experienced in algorithm design and optimization

• 3+ years hands-on experience in a similar position (1+ for candidates with PhD)

• Expertise in sensor fusion, edge AI, or embedded ML models for real-time applications
  

• Good coding skills in Python, familiarity with PyTorch, scikit-learn and other Python ML libraries

• Experience with time-series data, sensor data pipelines, or stream processing frameworks

• Good understanding of ML model deployments

• Excellent teamwork & communication skills, with a passion for innovation and solving complex challenges

• Genuine interest in solving challenging people-sensing problems from start to finish

• Willingness to travel domestically and internationally for development and on-site customer support