Member of Technial Staff, ML
Pear VCSalary not specified
- Full Time
- Junior (1 to 2 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
Job Description
Position Overview
- Location Type: Hybrid
- Job Type: Full-Time
- Salary: $180K - $200K
Ambient.ai is a unified, AI-powered physical security platform that helps enterprise organizations reduce risk, improve security operation efficiency, and gain critical insights. Seven of the top 10 U.S. technology companies and multiple Fortune 500 organizations across various industries leverage Ambient.ai to unify their security infrastructure and significantly enhance their security posture. The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to monitor and detect threats continuously in real-time. Ambient.ai does this while simultaneously decreasing false alarms by over 95%, allowing security teams to focus on legitimate threats. With Ambient.ai, companies can do more with less and prevent security incidents before they happen.
Requirements
- BS / MS / PhD in Computer Science / Mathematics or related field
- Ideal experience shipping state-of-the-art deep learning models in production or novel research in computer vision
- Experience with deep learning concepts, state-of-the-art in computer vision research, and the mathematics of machine learning
- Experience training a variety of popular deep learning architectures, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs)
- Proficiency in at least one of the popular computational and deep learning frameworks, such as TensorFlow, Caffe, Theano
- Proficiency in C/C++ and Python
- The ability and the desire to work in the exciting environment of an early-stage company
Responsibilities
- Implement and train deep neural networks to solve a variety of computer vision problems, such as object detection, semantic scene segmentation, human pose estimation, activity recognition
- Push the state-of-the-art on standard computer vision tasks with massive proprietary video data
- Develop the infrastructure for training and deploying models, including massive data pipelines, experiment management platforms, visualization tools
- Improve runtime efficiency of models for deployment
- Own data assets and annotation efforts
Company Information
- Founded: 2017
- Founders: Shikhar Shrestha and Vikesh Khanna
- Backing: Series-B company backed by Andreessen Horowitz (a16z), Allegion Ventures, SV Angel, Y Combinator, and investment angels like Jyoti Bansal, Mark Leslie, and Elad Gil.
- Recognition: Named on the YC Top Companies List 2021, 2022, 2023 and the Forbes Cloud 100 Rising Stars 2020
- Industry: Physical Security (creating a new category)
- Clients: Seven of the top 10 U.S. technology companies and multiple Fortune 500 organizations
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.
Palo Alto, CaliforniaHeadquarters
2017Year Founded
$70.2MTotal Funding
LATE_VCCompany Stage
Cybersecurity, AI & Machine LearningIndustries
51-200Employees