Deep Learning Research Engineer
Core
Develop state-of-the-art AI products for embedded camera devices by improving training algorithms, designing model architectures, and integrating multimodal LLMs.
Role type
Deep Learning Research Engineer (Embedded AI)
Builds
On-device Tiny AI software and cloud-based Vision Language Models for smart home cameras, commercial security, elderly care, and retail.
Domain
Computer Vision, Multimodal Large Language Models, Embedded Systems
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Keras, JAX, Computer Vision, Multimodal LLMs, Neural Network Training, Data Pipeline Design, Model Architecture Design
Preferred skills
Efficient Inference Deployment (Cloud/Edge), Deep Reinforcement Learning
Technologies
Kubernetes, PyTorch, TensorFlow, 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 Streamlit.
Seniority
Mid-Senior, hands-on IC
