What are the responsibilities and job description for the Applied Research Scientist - Computer Vision position at 8af43b28bd67cce8b6f851dc17902670?
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
The amazing skills you'll bring to Ambient.ai :
Why join us :
We take a market-based approach to pay here at Ambient.ai, and pay may vary depending on multiple factors. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, level, market conditions, and internal parity.
Base salary is just one component of our total rewards package. As a fast-growing start-up, our regular employees are also granted stock options, and an opportunity to succeed when Ambient.ai succeeds. As a young start-up with product market fit, our stock upside is substantial, and a large part of our total rewards strategy.
The pay scale below represents the starting base salary range we expect to pay for this position, and is subject to change
SF Bay Area : $180,000 - $200,000
Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant.
Salary : $180,000 - $200,000
