Junior Machine Learning/AI Engineer
Core
Deploy and maintain state-of-the-art AI models for egocentric video understanding, integrating them with MLLMs and computer vision to extract deep context from physical-world videos.
Role type
Junior Machine Learning/AI Engineer
Builds
Physical AI stack components and platform features for video analysis
Domain
Computer Vision, Multimodal AI, Physical World AI
Deliverable
production ML models
Required skills
Python software engineering, Multimodal Large Language Models, Machine Learning (Transformers/CNNs), PyTorch, NumPy, OpenCV, Git, Linux development, Distributed computing
Preferred skills
Computer Vision (Vision Transformers, spatio-temporal data), NLP (vision-language alignment), MLOps, Python acceleration (Numba, CUDA, Cython), Cloud technologies, Ray
Technologies
PyTorch, NumPy, OpenCV, Git, Linux, Ray, ONNX, TPUs
Responsibilities
Write clean, efficient, parallelized code to improve and extend the physical AI stack; Build and optimize parts of the AI stack; Integrate AI components into products; Ensure performance and reliability of the platform
Seniority
Junior, hands-on IC