Sr. AI/ML Computer Vision Engineer

TP-Link Systems Inc.-posted 6 months ago
$130,000 - $180,000/Yr
Full-time • Senior
Irvine, CA
101-250 employees
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We are seeking a Senior AI/ML Computer Vision Engineer to drive the development and deployment of AI-powered features across our smart home automation product lines, which includes smart security cameras, video doorbells and autonomous vacuum cleaners. This role is crucial for optimizing real-time machine learning inference and video analytics at the edge, ensuring seamless integration with cloud infrastructure while maximizing performance and efficiency. The ideal candidate has a strong background in embedded AI, computer vision, and real-time video processing with hands-on experience in deploying and optimizing ML models on constrained edge devices.

  • Lead the development of ML-based computer vision pipelines for real-time object detection, tracking, and classification across cameras, radar, LiDAR, and other sensors
  • Utilize multi-sensor fusion techniques, combining video, audio, and radar/LiDAR data to enhance smart device intelligence.
  • Optimize deep learning models for low-latency inference on embedded hardware (e.g., TensorFlow Lite, ONNX Runtime, OpenVINO, NVIDIA Jetson, Coral Edge TPU).
  • Implement quantization, pruning, and model compression to maximize performance on edge devices.
  • Collaborate with cloud team to develop edge-to-cloud data pipelines
  • Master’s degree in computer science or related field
  • 3-7 years of experience in embedded AI, edge computing, and computer vision.
  • Strong proficiency in Python for embedded AI development.
  • At least 4 years of experience in deep learning frameworks such as TensorFlow, PyTorch and Darknet
  • Expertise in machine learning model deployment on resource-constrained edge devices.
  • Proficiency in image/video processing and computer vision tools such as PIL/Pillow, gstreamer, FFmpeg, OpenCV
  • Able to simultaneously manage multiple projects
  • Familiarity with state-of-the-art deep learning models for image segmentation and object detection
  • Experience in Ensembling methods for combining multiple ML models
  • Knowledge of low-power optimization techniques for AI inference on edge hardware.
  • C/C++
  • Free snacks and drinks, and provided lunch on Fridays
  • Fully paid medical, dental, and vision insurance (partial coverage for dependents)
  • Contributions to 401k funds
  • Bi-annual reviews, and annual pay increases
  • Health and wellness benefits, including free gym membership
  • Quarterly team-building events
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