Machine Learning Engineer - Remote

Overview

RADAR is transforming the way the world thinks about physical retail by combining RFID and AI to unlock hyper-accurate product visibility and automation at scale.

In Short

• Build and scale ML infrastructure using tools like Airflow, Big Query, and Kubeflow.
• Train, validate, and deploy high-quality ML models to improve product accuracy.
• Optimize feature engineering pipelines for performance and scalability.
• Implement model monitoring and automated training pipelines.
• Champion CI/CD principles including automated testing and model validation.
• Collaborate with cross-functional teams including product, customer success, and data science.
• 2+ years of experience in building production ML systems.
• Strong proficiency in Python and ML frameworks.
• Hands-on experience with cloud ML platforms.
• Experience with big data processing and SQL optimization.

Requirements

• 2+ years of experience building production ML systems.
• Proficiency in Python and ML frameworks (scikit-learn, PyTorch, XGBoost).
• Experience with cloud ML platforms (AWS SageMaker, Vertex AI, Azure ML).
• Expertise in big data processing and SQL optimization.
• Production experience with workflow orchestration tools (Airflow, Dagster, Prefect).
• Proficiency with version control (Git) and CI/CD practices.

Benefits

• Competitive salary range of $120,000.00 - $190,000.00.
• Equity options.
• Comprehensive medical and dental coverage.
• Life and disability benefits.
• 401k plan.
• Flexible time off.
• Paid parental leave.