The company is seeking to enhance the capabilities of smart home applications through intelligent video analytics.
Requirements
- Solid research background and experience in computer vision and deep learning
- Proven programming skills in Python, C, C++, and experience with frameworks such as PyTorch and TensorFlow
- General knowledge of system architectures and distributed systems
- Hands-on experience in model deployment using tools such as ONNX, OpenVINO, or TensorRT
- Familiarity with techniques like model distillation and quantization for optimizing machine learning models
- Experience with object detection, tracking, association, attribute classification, and re-identification
- Experience with human pose estimation, action, and activity recognition
Responsibilities
- Inventing, refining, and adapting state-of-the-art techniques in computer vision and machine learning
- Applying techniques across both edge and cloud computing platforms
- Conducting research in vision foundation models
- Analyzing images and videos using vision-language models
- Synthesizing images and videos with generative AI
- Customizing large language models
- Discovering patterns and anomalies
Other
- PhD in Computer Science/Engineering, Electrical Engineering, or equivalent experience
- 8+ years of work experience in a relevant field
- Excellent written and oral communication skills
- Experience managing technical team including research scientists and ML Engineering
- Subsidized medical plan options, an HSA with generous company contribution, a 401(k) with employer match, and paid holidays, wellness time, and vacation increasing with tenure
