Working Student: Deep learning for Computer Vision (m/f/d)
Sereact
This job is no longer accepting applications
See open jobs at Sereact.See open jobs similar to "Working Student: Deep learning for Computer Vision (m/f/d)" Point Nine.About Sereact:
Sereact is a pioneer in AI-powered robotics for autonomous warehouses. With our innovative pick-and-pack automation solution, we assist logistics businesses around the world in boosting productivity and minimizing costs of their intralogistics. This is an opportunity to join our dedicated team and contribute to the growth of this exciting industry. Sereact’s technology is being used by clients in different industries, including e-commerce logistics company Zenfulfillment, automotive manufacturer Daimler Truck and third party logistics provider Material Bank.
Key Responsibilities:
- Develop deep learning models for solving computer vision tasks
- Familiarity on working with ROI features for deep learning models
- Come up with new optimization functions to train deep learning models
Qualifications:
- Computer Science, Information technology, Robotics and related studies
- Experience in Python, Pytorch and Git for programming
- Familiarity with computer vision, reinforcement learning and deep learning
- Fluent English communication skills
- Similar programming record on the GitHub or any other open platforms
- Experience working with robots and 3D cameras
- Knowledge of mathematics for intelligent systems
Company Benefits:
- A dynamic and supportive work environment
- Flexible working hours and the possibility to work remotely
- Ownership from day one
- Possibility to shape your own career
- Build a company & sales machinery shoulder to shoulder with the founders
- Work with newest industry tech stack
- Gym plan
- Workations and team events
You think you are the perfect fit for us? Send your application with CV (in German or English) and relevant references to career@sereact.ai.
This job is no longer accepting applications
See open jobs at Sereact.See open jobs similar to "Working Student: Deep learning for Computer Vision (m/f/d)" Point Nine.