Sr. AI/ML Computer Vision Engineer

TP-Link Systems Inc. • Irvine, CA

240d • $130,000 - $180,000

About The Position

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.

Requirements

• 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

Nice To Haves

• 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++

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 101-250 employees