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Build a safer world with us, one incident at a time.
Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response.
The momentum speaks for itself: we doubled new ARR in FY26, we process 200M+ video hours per day, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list.
Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible.
Ready to learn more? Connect with us on LinkedIn and YouTube
About the role:
Reporting to Raghu Nallamothu, you will design and build machine learning infrastructure to run state-of-the-art deep-learning models on many terabytes of video in real time. You will help build a data engine to collect training data and continuously train and evaluate Ambient.ai's computer vision models. Your work will be at the forefront of new developments in AI and computer vision.
You will partner with our research scientists to deliver the latest AI advancements, including LLM and LVMs (large vision models), to our product and customers.
What you'll do:
You will be playing a pivotal role in building and maintaining cutting-edge machine-learning infrastructure
Develop a robust data engine for collecting training data, ensuring scalability and efficiency in continuous model training and evaluation
Collaborate with research scientists to integrate state-of-the-art AI advancements, including LLMs and LVMs, into the company's computer vision models
What you'll bring:
4+ years of industry experience
BS/MS in Computer Science or related field with a strong programming background
Strong background in machine learning and deep learning. A background in computer vision is a strong plus
Proficient in designing and building scalable machine learning infrastructure, including experience with distributed systems
Expertise in programming languages, especially Python, and sound knowledge of software development best practices
Experience in designing and implementing data engines for collecting and managing training data
Experience with integrating advanced AI models, including LLMs, LVMs, and RAG, into production systems is a strong plus
Strong collaboration and communication skills for effective teamwork with research scientists, product teams, and stakeholders
Proactive problem-solving ability, a mindset for innovation, and adaptability to incorporate new technologies and methodologies
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 partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOne
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 role,s depending on customer demand)
The latest tech and awesome swag 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’ve found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our talent, engineering, product, design, and marketing teams work from our Redwood City office three days a week. All other Bay Area employees join on Fridays to stay connected and close out the week together.
Ready to learn more? Connect with us onLinkedIn| YouTube
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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.
