Senior Deep Learning Research Engineer
Core
Develop state-of-the-art AI products for embedded camera devices, combining Tiny AI with multimodal LLMs to enable features like People Detection and Video Search.
Role type
Senior Deep Learning Research Engineer (Embedded AI)
Builds
On-device Tiny AI software, cloud-based Vision Language Models, and advanced computer vision models for smart home and commercial security cameras.
Domain
Computer Vision, Multimodal Large Language Models, Embedded Systems, Edge AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Keras, JAX, Computer Vision, Multimodal LLMs, Neural Network Training, Model Architecture Design, Data Pipeline Engineering, Kubernetes, GCP, GPU Training
Preferred skills
Efficient Inference Deployment (Cloud/Edge), Deep Reinforcement Learning
Technologies
PyTorch, TensorFlow, Keras, JAX, Kubernetes, Snowflake, Dataflow, Streamlit, GCP
Responsibilities
Train and design accurate models for low-power hardware; improve data pipelines and training software; deploy training jobs on Kubernetes clusters; prototype new demos using tools like Streamlit.
Seniority
Senior, hands-on IC
