Deep Learning Research Engineer
Core
Develop state-of-the-art AI products for embedded devices by improving training algorithms, designing model architectures, and integrating multimodal LLMs.
Role type
Deep Learning Research Engineer
Builds
Production AI features for millions of smart home and security cameras
Domain
Embedded AI, Computer Vision, Multimodal LLMs
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Keras, JAX, Computer Vision, Multimodal LLMs, Neural Network Training
Preferred skills
Efficient inference deployment, 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
Seniority
Mid-Senior, hands-on IC
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