Alfa AI

Algorized is a fast-growing deep-tech startup developing cutting-edge software for human positioning and sensing. By leveraging advanced algorithms, edge ML, radar, and sensor fusion, we enable precise people tracking, positioning, vital sign detection, and age classification.

We are seeking an ML Engineer to design, build, and maintain scalable machine learning algorithms and infrastructure to support the creation and deployment of models that process data from sensors, radar, and cameras. This role will be critical in ensuring high performance, real-time accuracy, and seamless ML model performance on the edge.

Key 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
• Design scalable ML pipelines to support sensor-agnostic people-sensing model training, testing, deployment, and monitoring
• Implement monitoring tools to track model accuracy, performance, and scaling issues

Minimum Qualifications

• MSc or advanced degree in a relevant field
• Experienced in algorithm design and optimization
• 5+ years hands-on experience in a similar position (3+ for candidates with PhD)
• Expertise in sensor fusion, edge AI, or embedded ML models for real-time applications
• Ability to collaborate efficiently with backend developers
• 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 deployment, CI/CD and monitoring frameworks
• 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

Preferred Qualifications

• PhD in the relevant field
• Experience with signal processing and edge ML models
• Experience with ML for radar / LiDAR / computer vision applications
• Experience deploying ML models in C/C++
• Familiarity with 3D positioning, tracking systems, or vital signs estimation

Job Type: Full-time

Pay: $150,000.00 - $180,000.00 per year

Work Location: In person