Vision deep learning engineer
3 days ago
At , we are building the future of video intelligence. Our flagship platform, FizzStream, analyzes over a billion seconds of video to power real-world applications in market research, retail analytics, and sports analytics. We've achieved an industry-leading 90-92% accuracy in human activity analysis, and we're just getting started. We are a team of passionate innovators who believe in bridging cutting-edge research with production-grade solutions to create tangible impact.
The Mission:
We are seeking a hands-on Senior Deep Learning Engineer to pioneer the next generation of our core Video AI capabilities. This isn't just a research role; it's an opportunity to own the full lifecycle of new features, from concept to deployment, and directly influence a product that is already a leader in its field.
What You'll Own:
- Research to Production : Lead the charge in transforming state-of-the-art research (e.g., Video Language Models, multi-camera tracking) into robust, scalable, and deployed features for our core platform.
- Model Innovation and Optimization : Design, build, and meticulously optimize Deep Learning models for sophisticated human activity analysis. You'll work with the entire lifecycle, ensuring performance and efficiency.
- End-to-End System Impact : Take full ownership of key modules, ensuring their seamless integration and performance within our broader platform. You will be a bridge between our research and full-stack engineering teams, delivering cohesive and performant solutions.
- Future-Proof Our AI : Proactively explore and integrate new architectures and techniques to continuously advance our models' accuracy and scalability.
What We're Looking For:
1. Experience : 3-4 years of industry experience, with at least 2 years directly focused on Deep Learning for Computer Vision or Video AI. Proven success in taking models from research to production is a must.
2. 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.
3. Deep Learning Expertise :
* 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.
Your DNA :
A Builder's Mindset : You are driven by seeing your work in a real product and are excited by the challenges of translating complex ideas into elegant, production-ready solutions.
Relentless Curiosity : You have a passion for exploring new algorithms, continuously learning, and experimenting with new approaches.
Ownership & Impact : You are a 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 our users.
Join the Journey :
If you are ready to make a significant impact on the future of AI and contribute to a platform that analyzes billions of seconds of video, we want to hear from you. Apply today to help us build intelligence that matters.
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