Software Engineer - ML Infra 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, along with multiple Fortune 500 organizations across a variety of industries, leverage to unify their security infrastructure and significantly enhance their security posture. 

The platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to deliver continuous monitoring and detect threats in real-time. does this while simultaneously decreasing false alarms by over 95%, allowing security teams to focus on legitimate threats. With, 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 are always looking for passionate people who enjoy solving the toughest problems with cutting-edge AI/ML.

Fun facts about our technology:

  • Over 5bn+ events are ingested daily into our data processing pipeline, which generates real-time insights with sub-second latencies backed by an SLA
  • Our data stores collectively handle 100TB of data empowering queries with super low latencies using technologies like ElasticSearch, Postgres, Timescale, and Redis
  • We maintain 99.99% availability across our tech stack, which we meticulously monitor and ensure we meet the SLA
  • We handle real-time video streaming using WebRTC with sub-second latencies for a mission-critical application
  • We build core technologies to enable real-time video summarization and low latency search over 25bn+ media objects
  • To enable privacy-focused computer vision intelligence, we leverage edge computing coupled with serverless technologies ensuring high scalability

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'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

  • 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


We take a market-based approach to pay here at, 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 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:  $140,000 - $170,000  

*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. 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.

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