Machine Learning Engineer

Role Overview

Join RADAR as a Machine Learning Engineer to build, develop, and scale machine learning capabilities for its RFID + AI retail platform. You’ll work with cross-functional teams (product, customer success, engineering, data science, and research) to design and implement high-performance ML systems.

Responsibilities

• Design and maintain scalable ML infrastructure and pipelines for feature engineering, training, prediction, and deployment.
• Improve model performance using techniques such as hyperparameter tuning, feature selection, and architectural enhancements.
• Collaborate with data science to research, develop, and deploy new features that increase accuracy and robustness.
• Implement model monitoring, automated retraining, and observability to ensure model health and performance.
• Apply CI/CD best practices for ML (automated testing, validation, and deployment).
• Optimize feature engineering pipelines for performance and scalability.
• Partner with teams to translate business needs into technical ML solutions.
• Stay current with latest ML/AI advancements to continuously enhance platform capabilities.

Requirements

• 2+ years building production ML systems at scale (feature engineering, training, deployment, monitoring).
• Proficiency in Python and ML frameworks such as scikit-learn, PyTorch, and XGBoost.
• Hands-on experience with cloud ML platforms: AWS SageMaker, Google Vertex AI, or Azure ML.
• Big data processing experience, including SQL optimization and distributed computing frameworks like Spark or Dask.
• Production experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
• Proficiency with Git and CI/CD practices.
• Strong understanding of model monitoring, automated training pipelines, and observability.

Nice-to-haves

• Real-time streaming data technologies: Kafka, Flink, Pub/Sub.
• MLOps tools: MLflow or Weights & Biases.
• Bachelor’s degree in CS, Statistics, or related field.

Benefits

• $120,000–$190,000 competitive salary (commensurate with experience and location).
• Equity options.
• Comprehensive medical, dental, and vision; life and disability insurance.
• 401(k) with company matching.
• Flexible time.