Build a safer world with us, one incident at a time.
Ambient.ai is a unified, AI-powered physical security platform helping the world’s leading enterprises reduce risk, improve operational efficiency, and gain critical insights. Seven of the top 10 U.S. technology companies, along with multiple Fortune 500 organizations, rely on Ambient.ai to modernize their physical security infrastructure.
Our platform uses advanced AI and computer vision to seamlessly integrate with existing camera and sensor systems, enabling real-time monitoring and proactive threat detection. By reducing false alarms by over 95%, Ambient.ai allows security teams to focus on real threats and prevent incidents before they occur.
Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company on a mission to make every security incident preventable.
We’ve found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our engineering, product, design, and marketing teams work from our Redwood City office 3 days per week. All other Bay Area employees join on Fridays to stay connected and close out the week together.
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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
Salary and Equity:
At Ambient.ai, we take a market-based approach to compensation. Final offers are based on job-related skills, experience, location, and internal equity.
Base salary is just one part of our total rewards package, including stock options and the opportunity to share in the company’s growth.
The starting base salary range for this role in Redwood City: $168,000 - $210,000
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
#LI-Hybrid
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.
Top Skills
What We Do
Ambient.ai is a computer vision intelligence company transforming enterprise security operations to prevent security incidents before they happen. The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to deliver continuous physical security monitoring and automate the immediate dispatch of human resources. Ambient.ai is the first platform that goes beyond basic motion detection and image recognition to achieve near-human perception with automated situational context.
With physical security incidents on the rise and physical security organizations left under-resourced, Ambient.ai’s computer intelligence platform comes at a time of critical need, which is why the company has raised over $50 million from venture capital investors led by a16z. Today, large enterprises, schools and organizations – including many of the largest US tech companies and other Fortune 500 companies – use Ambient.ai to secure property, people, and assets from the most harrowing physical security threats.
The company was founded in 2017 by experts in artificial intelligence from Stanford who previously built iconic products at Apple, Google, Microsoft and Dropbox. We are backed by Andreessen Horowitz (a16z), SV Angel, Y Combinator, and visionary angels like Jyoti Bansal, Mark Leslie and Elad Gil.
