
AI Engineer for Video Intelligence Pioneer
6 days ago
Pioneer the future of video intelligence and drive innovation in market research, retail analytics, and sports analytics.
- Translate cutting-edge research into robust, scalable, and deployed features that power real-world applications.
The Mission:
We are seeking a senior deep learning engineer to own the full lifecycle of new features, from concept to deployment.
What You'll Own:
- Research to Production: Lead the charge in transforming state-of-the-art research into production-ready solutions.
- Model Innovation and Optimization: Design, build, and optimize deep learning models for sophisticated human activity analysis.
- End-to-End System Impact: Take ownership of key modules, ensuring seamless integration and performance within our broader platform.
- Future-Proof Our AI: Explore and integrate new architectures and techniques to continuously advance model accuracy and scalability.
Required Skills and Qualifications:
- 3-4 years of industry experience with at least 2 years directly focused on deep learning for computer vision or video AI.
- 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.
- A strong, practical understanding of fundamental deep learning concepts.
- Proven experience successfully implementing activity detection or object detection algorithms.
- A keen ability to critically read, understand, and implement state-of-the-art research papers.
Benefits:
- A Builder's Mindset: Driven by seeing work in a real product, excited by 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 projects from start to finish, driving them to success and ensuring impact is felt by the product and users.
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