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Computer Vision / Video AI Engineer

EdgeTrace provides a platform and API for advanced video capabilities, including semantic search, automated annotations & analytics for critical industries.
San Mateo, CA, USA
$100,000 - $150,000
Machine Learning
Entry-Level Software Engineer
In-Person
1 - 10 Employees
1+ year of experience
AI

Description For Computer Vision / Video AI Engineer

EdgeTrace is an innovative startup revolutionizing the $25B+ market in AI-powered video retrieval and analytics. As a founding engineer in this role, you'll be at the forefront of developing cutting-edge video understanding and persistent memory context systems.

The position offers an exceptional opportunity to shape the future of AI-driven video understanding, working directly with the founding team. You'll be responsible for leading the development of scalable video processing pipelines, architecting sophisticated models for video analysis, and driving innovation in dataset management and model training.

The ideal candidate should bring strong expertise in Computer Vision and Video Engineering, with proficiency in Python/C++ and deep learning frameworks like PyTorch. Your experience with video processing tools, MLOps, and modern deep learning architectures will be crucial in developing our core technology.

The role offers competitive compensation including both salary ($100K-$150K) and equity (0.10%-1.00%), along with comprehensive health benefits. Based in San Mateo, CA, you'll work in a collaborative environment with a world-class team, having the unique opportunity to build groundbreaking products from the ground up.

This is an excellent opportunity for someone passionate about pushing the boundaries of AI and video technology, wanting to make a significant impact in a growing field. You'll be joining a Y Combinator-backed startup with ambitious goals and the potential to transform how industries interact with video data through advanced capabilities like semantic search and automated analytics.

Last updated 2 months ago

Responsibilities For Computer Vision / Video AI Engineer

  • Lead the development of scalable video processing and inference pipelines
  • Architect, develop, and optimize models for video analysis, retrieval, and contextual understanding tasks
  • Collaborate closely with the founding team to define product strategy and technical roadmap
  • Drive innovation through novel approaches to dataset sourcing, augmentation, labeling, and model training

Requirements For Computer Vision / Video AI Engineer

Python
  • Strong proficiency in Python and/or C++
  • Extensive experience developing, training, and deploying Computer Vision models, particularly using PyTorch
  • Deep understanding of modern deep learning architectures for video and image analysis
  • Proven track record of implementing and improving upon cutting-edge computer vision
  • Experience with common video processing libraries and tools
  • Solid understanding of machine learning operations (MLOps) and model deployment strategies

Benefits For Computer Vision / Video AI Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • Competitive salary & equity package
  • Health, dental, and vision insurance
  • Work on-site in a collaborative and innovative work environment with a world-class team

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