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

Job Description

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.

Qualifications

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

Additional Information

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.