We are seeking a highly skilled and experienced Senior AI/ML Computer Vision Engineer to lead the development and deployment of cutting-edge AI features for innovative smart home automation products. In this pivotal role, you will be instrumental in optimizing real-time machine learning inference and video analytics at the edge, ensuring seamless integration with cloud infrastructure while maximizing performance and efficiency for products like smart security cameras, video doorbells, and autonomous vacuum cleaners.
The ideal candidate possesses a strong background in embedded AI, computer vision, and real-time video processing, with hands-on experience deploying and optimizing ML models on constrained edge devices. If you are passionate about pushing the boundaries of AI on low-power devices and thrive in a collaborative environment, we encourage you to apply!
MEDICAL, DENTAL AND VISION ARE EFFECTIVE THE FIRST OF THE MONTH FOLLOWING YOUR DATE OF HIRE
location: Irvine, California
job type: Permanent
salary: $130,000 - 180,000 per year
work hours: 8am to 5pm
education: Bachelors
responsibilities:
- Lead the development of robust ML-based computer vision pipelines for real-time object detection, tracking, and classification across various sensors (e.g., cameras, radar, LiDAR).
- Utilize advanced multi-sensor fusion techniques, combining video, audio, and radar/LiDAR data to enhance the intelligence of smart devices.
- Optimize deep learning models for low-latency inference on embedded hardware.
- Implement quantization, pruning, and model compression techniques to maximize performance on edge devices.
- Collaborate closely with cloud teams to develop efficient edge-to-cloud data pipelines.
- Contribute to prompt engineering and descriptive AI initiatives
qualifications:
- Master's degree in Computer Science, Electrical Engineering, or a related technical field.
- 7+ years of professional experience in embedded AI, edge computing, and computer vision.
- Strong proficiency in C, C++, and Python for embedded AI development.
- At least 4 years of hands-on experience with deep learning frameworks such as TensorFlow and PyTorch.
- Demonstrated expertise in machine learning model deployment and optimization on resource-constrained edge devices.
- Proficiency in image/video processing and computer vision tools such as PIL/Pillow, GStreamer, FFmpeg, and OpenCV.
- Ability to simultaneously manage and prioritize multiple projects effectively.
- Experience developing in embedded Linux and RTOS environments.
skills: When applying, please highlight your experience with the following:
- TensorFlow
- PyTorch
- YOLO
- MobileNet
- OpenCV
- Computer Vision
- Deep Learning
- Image Processing
- Feature Extraction
- Semantic Segmentation
- Image Segmentation
- Object Detection
- Image Classification
- Active Learning
- Camera Calibration
- ONNX Runtime
- Model Quantization
- Edge AI
- Embedded Machine Learning
- Data Augmentation
- Data Pipelines
- C/C++
- Python
- CI/CD
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.
Qualified applicants in the unincorporated areas of Los Angeles County with criminal histories will be considered for employment in accordance with the Los Angeles County's Fair Chance Ordinance for Employers.
We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.
