Head of Research & Development (AI / Computer Vision)
Panopto300,000 - 400,000 USD/year
- Full Time
- Senior (5 to 8 years)
$180,000 – $200,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Cybersecurity, Consumer SoftwareIndustries
Requirements
Candidates should possess a BS, MS, or PhD in Computer Science, Mathematics, or a related field. Ideal candidates will have experience shipping state-of-the-art deep learning models in production or conducting novel research in computer vision. Proficiency in deep learning concepts, familiarity with state-of-the-art computer vision research, and a strong understanding of the mathematics of machine learning are essential. Experience training popular deep learning architectures, such as CNNs and RNNs, is required, along with proficiency in at least one computational and deep learning framework like TensorFlow, Caffe, or Theano. Candidates must also be skilled in C/C++ and Python, and demonstrate a history of high-quality engineering output through side projects, internships, research, or full-time jobs.
Responsibilities
The Applied Research Scientist will implement and train deep neural networks to address various computer vision challenges, including object detection, semantic scene segmentation, human pose estimation, and activity recognition. They will push the state-of-the-art on standard computer vision tasks using extensive proprietary video data and develop the infrastructure necessary for training and deploying models, which includes creating massive data pipelines and experiment management platforms. Additionally, they will improve the runtime efficiency of models for deployment and take ownership of data assets and annotation efforts.
Skills
Deep Learning
Convolutional Neural Networks
Recurrent Neural Networks
TensorFlow
Caffe
Theano
C/C++
Python
Object Detection
Semantic Scene Segmentation
Human Pose Estimation
Activity Recognition
Ambient.ai
AI software for proactive physical security
About Ambient.ai
Ambient.ai enhances physical security systems with software that uses artificial intelligence and computer vision. The technology helps security teams shift from reactive to proactive operations by detecting unusual changes in human behavior and locations, without relying on facial recognition. This approach respects privacy while providing AI-verified alerts that reduce false alarms and improve efficiency. The company aims to serve organizations needing security solutions while continuously adapting to the evolving risk landscape.
Key Metrics
Palo Alto, CaliforniaHeadquarters
2017Year Founded
$70.2MTotal Funding
LATE_VCCompany Stage
Cybersecurity, AI & Machine LearningIndustries
51-200Employees