Ambient.aiis a computer vision intelligence company transforming security operations for large enterprises by preventing security incidents before they happen. Ambient.ai has a globally deployed footprint with several F500 companies. The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to deliver physical security monitoring and detect threats in real-time. Ambient.ai does this while simultaneously decreasing false alarms by over 95%, allowing security teams to focus on legitimate threats and on rapid response. The future of enterprise physical security is data-driven, intelligent, and proactive. With Ambient.ai, companies can do more with less, while also improving their security posture.
Founded in 2017 byShikhar 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 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 are always looking for passionate people who enjoy solving the toughest problems with cutting-edge AI/ML.
Position Overview:
Reporting into Raghu Nallamothu, In this role, 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.
The impact you'll make:
- 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.
The amazing skills you'll bring to Ambient.ai:
- 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 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
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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: $132,000 - $160,000
*From time to time, we may decide to make an offer to a candidate that is either leveled below or above this role based on skills, experience, and interview performance.
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.
