Machine Learning Systems Engineer – Video Computer Vision

• Bachelor’s degree in Computer Science, Machine Learning, or a related discipline, and 3+ years of relevant industry experience.
• Strong ML fundamentals.
• Proven track record of writing high-quality production code for shipped on-device CV/ML features deployed on embedded platforms
• Solid understanding of operating system fundamentals and extensive programming experience in Python and C++.
• Hands-on experience with PyTorch and familiarity with the end-to-end ML lifecycle (data preprocessing, training, evaluation, and edge deployment).
• Experience with Supervised Fine-Tuning (SFT) pipelines to adapt vision and multimodal foundation models for specialized, on-device downstream tasks.
• Robust foundational understanding of machine learning architectures, specifically Multimodal LLMs and the integration of ML components into complex production systems.
• Programming experience with Swift and familiarity with CoreML, CoreFoundation, and RealityKit frameworks.
• Fundamental knowledge of real-time video pipelines, image transformations, and rendering loops.
• Experience optimizing models for neural network accelerators (e.g., Apple Neural Engine or mobile GPUs).

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