Senior Machine Learning Engineer / On-site / Sunnyvale CA

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.

Requirements:

• 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).

Benefits:

• 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.