Back to search
Description
As a member of the Video Computer Vision team, you will work across the stack to transform promising research projects into refined products that ship to our customers. You will build software infrastructure to deliver multimodal context to models and optimize the software harness and the model for efficient on-device deployment. Partnering closely with algorithm researchers, you will also participate in post-training model alignment and evaluation.
Minimum Qualifications
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 platformsSolid 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.
Preferred Qualifications
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).
Learn more about this Employer on their Career Site
