Senior Computer Vision Engineer - Berlin - (f/m/x)

What You'll Do

• Maintain, optimize, and ensure the reliability of our complex, multi-stage computer vision pipeline, which includes models for semantic segmentation, object detection, image classification, and optical flow estimation.
• Set the technical vision and roadmap for specific parts of the CV pipeline, making key architectural and algorithmic decisions to drive performance and accuracy.
• Lead the adaptation of existing models and the development of new components for upcoming projects, translating business needs into technical solutions.
• Oversee the entire data lifecycle for your models, from defining clear annotation guidelines to managing data quality and iterating on the feedback loop with our in-house annotation team.
• Write clean, maintainable, and robust production-level Python code, adhering to strong software engineering best practices.
• Manage model training, experimentation, and evaluation on our on-premise Linux server infrastructure.
• Master's degree or PhD in Computer Science, or a related field.
• 5+ years of professional experience building and deploying computer vision models in a production environment.
• Deep, hands-on expertise with PyTorch.
• Proven experience across a range of computer vision tasks (e.g., object detection, semantic segmentation, image classification).
• Exceptional software engineering fundamentals with a focus on writing clean, testable, and efficient Python code.
• High proficiency in a Linux environment is mandatory. You should be comfortable and efficient using shell scripting, SSH, and command-line interfaces for daily work.
• Demonstrated experience working with data annotation pipelines, defining guidelines, and ensuring data quality.
• Excellent problem-solving skills and the ability to work independently and take ownership of projects.
• Willingness to embrace new ideas and feedback, work collaboratively with others, and continuously seek improvement.

 

Nice-to-Haves

• Experience working with large-scale datasets (TBs) and building efficient data processing pipelines.
• Experience with model optimization techniques (e.g., quantization, pruning, TensorRT/ONNX conversion).
• Experience mentoring junior engineers or providing technical leadership.

 

Our Tech Stack

Primary Framework: PyTorch

• Infrastructure: In-house Linux servers, CLI, SSH
• Annotation: In-house custom tooling

Contact

Igor Popov

At AUTO1 Group we live an open culture, believe in direct communication, and value diversity. We welcome every applicant; regardless of gender, ethnic origin, religion, age, sexual identity, disability, or any other non-merit factor.