ML Data Engineer

Job Title: ML Data Engineer Location: Redmond WA - Onsite Duration: 12 Months (possibility of extensions) Machine Learning Data Engineer to support a cutting-edge research team working on next-generation ML models and intelligent devices. This role sits at the intersection of data engineering and applied machine learning, transforming complex multimedia data into robust, high-quality datasets ready for training. Must-Have Skills 5+ years in data engineering or machine learning. Strong Python skills (NumPy, SciPy, Pandas). Experience with SQL, data cleaning, anomaly detection. Understanding of ML training workflows and data quality impact (especially with PyTorch). Proficiency in Linux and shell scripting. Familiarity with audio, image, and video formats. Nice-to-Have Experience with multimodal datasets (Audio/Video, Optitrack, multi-Camera/Sensor). Basic knowledge of audio processing (DSP, acoustics). REST APIs, NoSQL/graph databases, and research environments. Strong mathematical foundation. You’ll collaborate closely with researchers and data collection teams to ensure the data pipeline is optimized for performance, accuracy, and scalability. • Build scalable pipelines for audio, video, and sensor data (IMU). • Translate stakeholder needs into technical solutions. • Perform advanced data operations: filtering, feature extraction, synchronization, and ML inference. • Interface with internal tools for dataset management, validation, transformation, and QA. • Collaborate with researchers to integrate prototypes into production workflows. • Ensure compliance with data governance and security standards.