Data Curation/Data Engineer (AI Quality & Evaluation)

• We are seeking a Data Curation / Data Engineer (AI Quality & Evaluation) to join our AI team and play a critical role in ensuring the highest standards of quality, safety, and performance across AI-driven product offerings.
• In this role, you will collaborate with cross-functional engineering teams to develop, evaluate, and maintain high-quality datasets and AI systems powering a fully integrated smart home ecosystem. This position focuses on AI model evaluation, data pipeline development, dataset curation, and production monitoring across edge and cloud environments.
• You will help shape practical AI solutions that enhance home protection, deliver meaningful insights, and improve everyday convenience through computer vision, sensor fusion, and advanced machine learning applications., * Architect and implement frameworks to enforce AI quality, safety, and evaluation standards.
• Design and maintain scalable data pipelines for data ingestion, curation, annotation, and validation.
• Develop comprehensive evaluation methodologies and datasets to measure model accuracy, safety, and performance.
• Test, refine, and optimize ML models for both edge devices and cloud environments.
• Partner closely with embedded, app, platform, QA, product, and UX teams to deploy AI solutions at scale.
• Monitor production AI systems, analyze performance metrics, and drive continuous improvement.
• Establish best practices for data governance, reproducibility, and model lifecycle management.

• 3-5 years of relevant experience in AI/ML, data engineering, model evaluation, or AI quality engineering.
• Strong analytical and problem-solving skills.

AI / ML & Model Evaluation

• Data structures, data curation, annotation workflows, and dataset lifecycle management.
• Model training, fine-tuning, and evaluation.
• LLM and Generative AI training/evaluation.
• Computer vision training, validation, and deployment.
• Transformers, LLMs, Vision-Language Models (VLM), and knowledge graphs.
• Classification, object detection, segmentation, tracking, recognition, Re-ID, pose estimation, and vector embeddings.
• Model compression techniques.
• Image, audio, radar, and signal processing.

Programming & Systems

• Advanced proficiency in Python.
• Shell scripting.
• C++ and/or Rust.
• Embedded Linux environments.
• Git version control.
• Experience working with secure, scalable, high-availability, low-latency, and distributed systems.

Skills:

• Data Curation
• Model Training
• Python
• LLM, * Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field.