Algorized · 4 hours ago
Machine Learning Engineer
San Jose, CA
Full-time
Onsite
Senior Level
5+ years expAlgorized is a fast-growing deep-tech startup developing cutting-edge software for human positioning and sensing. They 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.
Artificial Intelligence (AI)Embedded SoftwareSensorSoftware
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
Qualification
Required
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
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
Company
Algorized
Algorized offers an AI-centric platform developing advanced people-sensing to provide human detection between people and machines.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$4.3MKey Investors
Innovaud,International Institute for Management DevelopmentAmazon Industrial Innovation Fund
2026-01-29Non Equity Assistance
2024-11-07Seed· $4.3M
Leadership Team
Natalya Lopareva
CEO and Founder
Recent News
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