Applied Research Scientist

Ambient.ai is a leading computer vision intelligence company. Successfully transforming security operations for large enterprises by preventing security incidents before they happen. Ambient.ai has a globally deployed footprint with a number of F500 companies. The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to deliver continuous physical security monitoring and detect threats in real time. Ambient does this while simultaneously decreasing false alarms by over 95%, allowing security teams to efficiently focus on legitimate threats and on rapid response. The future of enterprise physical security is data-driven, intelligent, and proactive. Companies no longer have to choose between reducing operating expenses or mitigating risk. With Ambient; companies can do more with less, while also improving their security posture. The company was founded in 2017 by Shikhar Shrestha and Vikesh Khanna. They are experts in artificial intelligence from Stanford University who previously built iconic products at Apple, Google, Microsoft, and Dropbox. We are a Series-B company backed by Andreessen Horowitz (a16z), SV Angel, YCombinator, and visionary angels like Jyoti Bansal, Mark Leslie, and Elad Gil. Named on the YC Top Companies List 2021 and 2022, and the Forbes Cloud 100 Rising Stars 2020, we are turning the impossible into the inevitable. We are always looking for passionate people, who enjoy tackling the toughest problems with cutting-edge AI/ML. To experience our technology, check out this video: https://ambient.ai/why-ambient-ai/ 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. We were founded in 2017 by Shikhar Shrestha and Vikesh Khanna, experts in artificial intelligence from Stanford University who previously built iconic products at Apple, Google, Microsoft, and Dropbox. We are a 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. Named on the YC Top Companies List 2021, 2022, 2023, and the Forbes Cloud 100 Rising Stars 2020, we are turning the impossible into the inevitable. We always seek passionate people who enjoy solving the most challenging problems with cutting-edge AI/ML. The impact you'll make: 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 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 The amazing skills you'll bring to Ambient.ai: 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 Experience with high-quality engineering output (side projects, internships, research projects, full-time jobs The ability and the desire to work in the exciting environment of an early-stage company 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 Experience with high-quality engineering output (side projects, internships, research projects, full-time jobs The ability and the desire to work in the exciting environment of an early-stage company Why join us: We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible We have an impressive customer roster of F500 companies, including Adobe, VMware, and Linkedin Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan) We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most roles depending on customer demand) The latest tech and awesome swag will be delivered to your door Enjoy a full range of opportunities to connect with your awesome co-workers We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible We have an impressive customer roster of F500 companies, including Adobe, VMware, and Linkedin Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan) We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most roles depending on customer demand) The latest tech and awesome swag will be delivered to your door Enjoy a full range of opportunities to connect with your awesome co-workers We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist Ambient's tech stack is very extensive. For the IoT server and the deep learning infrastructure, we use Python, C/C++, WebRTC and Tensorflow on GP-GPUs (NVIDIA). The web backend and micro-services are written largely in Python. The frontend is a mix of React and native Javascript. The web infrastructure is supported by a variety of services such as Redis, celery, elasticsearch, Amazon RDS etc. For the IoT server and the deep learning infrastructure, we use Python, C/C++, WebRTC and Tensorflow on GP-GPUs (NVIDIA). The web backend and micro-services are written largely in Python. The frontend is a mix of React and native Javascript. The web infrastructure is supported by a variety of services such as Redis, celery, elasticsearch, Amazon RDS etc. We also use a variety of tools such as supervisor, docker, network monitoring tools and performance profilers.