Senior Machine Learning Engineer / On-site / Sunnyvale CA

San Jose, CA


Full Time

$180k - $190k

Exciting Opportunity For A Video Security Startup Sunnyvale, CA

Are you ready to revolutionize the video security industry? A dynamic player in the cloud-based video security solutions market is seeking a Full-Stack Machine Learning Engineer to join their innovative team. Located in Sunnyvale, CA, this startup is on a mission to modernize video security with its cloud software interface, making it easy to deploy and manage cameras in just 10 minutes.

Picture this: managing one of the largest distributed networks of cameras for physical security, with plans to cross 100,000 cameras in the future. As a Full-Stack Machine Learning Engineer, you'll be at the forefront of this groundbreaking technology. 

  • Interesting and Challenging Problem:

    • Manage one of the largest camera networks globally.
    • Your code will be shipped to numerous physical devices.
  • Cutting-edge Technology:

    • Leverage the latest advances in foundation models and LLMs.
    • Make millions of video logs searchable and build a physical security AI agent.
  • Market Impact:

    • Customers love and pay for the product upfront.
    • 100% of customers prefer this startup over the competition after a demo.
  • Growth and Ownership:

    • Massive and growing market (projected to reach $85.5 billion by 2026).
    • Well-funded startup, offering meaningful equity ownership.
  • Lead Projects from Day 1:

    • Join an early-stage startup and make a real impact from the start.

The Role: Full-Stack Machine Learning Engineer

Join them in Sunnyvale, CA, and take on the challenge of revolutionizing video security. As a Full-Stack Machine Learning Engineer, you will:

  • Productionize open-source Pytorch models in C++ runtime, optimizing for latency and throughput.
  • Fine-tune models on our in-house dataset.
  • Design experiments to evaluate tradeoffs between latency and accuracy.
  • Fully own end metrics by integrating models with downstream use cases.
  • Maintain and improve all existing ML applications in the product.
  • Read research papers, develop ideas, and convert them into working code.


  • 3+ years of industry experience in productionizing ML models.
  • Strong machine learning fundamentals and familiarity with the latest developments in foundation models and LLMs.
  • Proficient in Pytorch, Python3, and C++.
  • Comfortable with Docker and containerization.
  • Experience with Torch script, ONNX runtime, TensorRT (desired).
  • Understanding of half-precision inference and int8 quantization (desired).


  • Medical, Dental, and Vision insurance.
  • 401k (no matching).
  • Good equity ownership in the company.

Ready to take on a challenge that shapes the future of video security? Apply now and be part of this exciting journey!

Applicants must be currently authorized to work in the US on a full-time basis now and in the future. 

Posted by: Max LeDang