Deep Learning Engineer - Computer Vision
streamingo.ai
Date: 2 weeks ago
City: Remote, Remote
Contract type: Full time
Remote
Responsibilities
- From Research to Reality: You'll be the bridge between cutting-edge academic research (activity recognition, multi-camera tracking, Video Language Models) and deployable, production-grade features on https://deeplabel.app .
- Building Solutions: Design, develop, and optimize Deep Learning models for human activity analysis in videos, from initial concept to final deployment.
- System Ownership: Take charge of your modules, ensuring they're robust, efficient, and seamlessly integrated with our AI platform, collaborating closely with our full-stack team.
- 4-5 years of industry experience, with 2-3 years specifically in practical, project-driven Deep Learning in the Video AI domain.
- Rock-solid Python coding skills.
- Deep practical knowledge of PyTorch and ONNX.
- Proven track record of deploying data pipelines for Computer Vision projects.
- The ability to independently set up, troubleshoot, and optimize Linux workstations (CUDA, OpenCV).
- A strong grasp of Deep Learning concepts (optimizers, attention, masking, model tuning).
- Demonstrated experience with activity detection or object detection implementations.
- A keen ability to read and implement new approaches from research papers.
- You're incredibly curious and love to experiment.
- You have an unwavering commitment to learning and overcoming challenges.
- You're a great communicator and thrive in a collaborative environment.
- You take full ownership of your work, seeing it through to successful deployment.
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