Senior Machine Learning Engineer / On-site / Sunnyvale CA
San Jose, CA
$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.
- Leverage the latest advances in foundation models and LLMs.
- Make millions of video logs searchable and build a physical security AI agent.
- 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