
Senior Deep Learning Engineer for Advanced Video Analytics
7 days ago
At the forefront of innovation, we're revolutionizing video intelligence with a cutting-edge platform. Our technology analyzes vast amounts of video data to power applications in market research, retail analytics, and sports analytics.
The Mission:
We're seeking a skilled Senior Deep Learning Engineer to pioneer the next generation of our core Video AI capabilities. This role involves transforming state-of-the-art research into robust, scalable features for our platform.
Key Responsibilities:
- Research to Production: Lead the charge in translating research into deployed features, ensuring seamless integration and performance within our broader platform.
- Model Innovation and Optimization: Design, build, and meticulously optimize Deep Learning models for sophisticated human activity analysis, focusing on performance and efficiency.
- End-to-End System Impact: Take full ownership of key modules, guaranteeing their cohesive integration and performance within our platform.
- Future-Proof Our AI: Explore and integrate new architectures and techniques to advance our models' accuracy and scalability.
Requirements:
- Experience: 3-4 years of industry experience, with at least 2 years directly focused on Deep Learning for Computer Vision or Video AI, including proven success in taking models from research to production.
- Technical Proficiency:
- Exceptional proficiency in Python and PyTorch.
- Deep practical expertise with ONNX for optimization and deployment.
- Hands-on experience with robust data pipelines and model deployment for Computer Vision.
- Proficiency with Linux, CUDA, and OpenCV.
- Deep Learning Expertise:
- Strong understanding of fundamental Deep Learning concepts.
- Proven experience successfully implementing activity detection or object detection algorithms.
- Ability to critically read, understand, and implement state-of-the-art research papers.
Your DNA:
A Builder's Mindset : Driven by seeing your work in a real product and excited by the challenges of translating complex ideas into elegant solutions.
Relentless Curiosity: Passionate about exploring new algorithms, continuously learning, and experimenting with new approaches.
Ownership & Impact : Self-starter who takes complete ownership of a project from start to finish, driving it to success and ensuring its impact is felt by the product and users.
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