Senior Computer Vision Engineer

Join a global technology company that designs and develops advanced consumer electronics used in everyday life. The team focuses on building next-generation video and AI solutions that power connected devices, enhancing safety, usability, and user experience worldwide. As a Senior Computer Vision Engineer, you’ll be part of an R&D team working on cutting-edge vision systems, developing and deploying machine learning models that run in real time on edge devices.

Key responsibilities

• Design and implement deep learning models for detection, tracking, and video analytics

• Build efficient training pipelines using labelled and large-scale unlabelled datasets

• Optimize models for edge deployment (quantization, pruning, distillation) to ensure real-time performance

• Write clean, production-quality Python code with tests and maintainable structure

• Debug and resolve ML issues (e.g., loss calculation, gradient, convergence, or performance bottlenecks)

• Collaborate with cross-functional hardware/software teams to bring models from research to production

Ideal candidate profile

• 5+ years of experience in computer vision or deep learning engineering

• Strong hands-on knowledge of PyTorch for computer vision tasks (CNNs, Transformers, representation learning)

• Experience with model exporting standards (ONNX, TensorRT) and optimization for resource-constrained devices

• Familiarity with video processing pipelines and large-scale dataset handling

• Strong Python programming skills with solid software engineering practices (modular code, refactoring, testing, Git)

• Experience in semi-supervised/transfer learning or active learning for limited labelled datasets

• Nice to have: C++, embedded/edge AI deployments, distributed training, contributions to research or open-source projects

Conditions

• Work model: hybrid in Gdańsk (3 days per week)

• Salary: depends on your experience

• Employment type: B2B, UoP is also possible

• Benefits: medical care, life insurance, trainings, Multisport card

Recruitment steps

• Phone call with Recruiter (20 - 30 min.)

• Technical interview with Client

• Feedback and decision