Senior Applied Scientist, Alexa Smart Home
Core
Design and build next-generation Smart Home experiences using multimodal Large Language Models and Computer Vision to automate daily routines and control appliances.
Role type
Senior Applied Scientist (Smart Home / Multimodal AI)
Builds
Intelligent home automation features, video summarization, and video search capabilities for Alexa.
Domain
Consumer Electronics / Smart Home / Multimodal AI
Deliverable
production ML models
Required skills
Large Language Models (LLM), Computer Vision, Synthetic data generation, Neural deep learning methods, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
Responsibilities
Develop inference and training techniques for LLMs in Smart Home control, Solve hard problems in computer vision and video summarization, Develop robust techniques for synthetic data generation, Mentoring junior scientists
Seniority
Senior, hands-on IC with mentorship
