TP-Link
Join to apply for the
Sr. AI/ML Computer Vision Engineer
role at
TP‑Link
Headquartered in the United States, TP‑Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi‑Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity.
We believe technology changes the world for the better. At TP‑Link Systems Inc, we are committed to crafting dependable, high‑performance products to connect users worldwide with the wonders of technology. Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle.
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.
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.
Required Qualifications
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.
Desired Qualifications
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++.
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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Civil Engineering
At TP‑Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Beyond compliance, we strive to create a supportive and growth‑oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP‑Link Systems Inc.
Please, no third‑party agency inquiries, and we are unable to offer visa sponsorships at this time.
#J-18808-Ljbffr
Sr. AI/ML Computer Vision Engineer
role at
TP‑Link
Headquartered in the United States, TP‑Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi‑Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity.
We believe technology changes the world for the better. At TP‑Link Systems Inc, we are committed to crafting dependable, high‑performance products to connect users worldwide with the wonders of technology. Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle.
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.
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.
Required Qualifications
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.
Desired Qualifications
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++.
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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Civil Engineering
At TP‑Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Beyond compliance, we strive to create a supportive and growth‑oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP‑Link Systems Inc.
Please, no third‑party agency inquiries, and we are unable to offer visa sponsorships at this time.
#J-18808-Ljbffr