Senior Computer Vision & Machine Learning Researcher

Join VeroTech as a Senior Computer Vision & Machine Learning Researcher and lead innovative data-driven projects in an evolving field. Collaborate with a team of experts to create impactful solutions that drive technology forward.

About the role

In this role, you'll develop and implement data-driven classification workflows for time-resolved image data. You'll be responsible for every stage of the process, from dataset preparation to feature engineering, applying machine-learning models to extract key performance metrics and optimizing data pipelines for accuracy and scalability.

Key responsibilities

- Develop and implement data‑driven classification workflows for time-resolved image data, including dataset preparation and feature engineering.

- Apply and evaluate machine‑learning models to extract and interpret key performance metrics.

- Analyze model performance, including validation, robustness, and risks such as overfitting.

- Optimize preprocessing and data pipelines to improve model accuracy and scalability.

- Communicate results through clear visualizations and presentations to support decision‑making.

What we're looking for

We're seeking someone with a strong technical background and a passion for innovation.

- Master’s or PhD in Computer Science, Electrical Engineering, or a related field with a strong interest in biology.

- Minimum 5 years of experience in computer vision, including image and time‑resolved data analysis.

- Strong expertise in machine learning, particularly classification methods and model evaluation.

- Experience with image processing pipelines, including preprocessing and feature extraction.

- Proficiency in Python and relevant libraries.

- Strong command of English.

Why join us?

At VeroTech, we empower engineers to grow, innovate, and lead. Join a dynamic community where you’ll work on cutting-edge R&D projects, receive personalized career development, and thrive in a supportive, inclusive culture. Enjoy flexibility with remote work options, a competitive salary package, and additional benefits like meal vouchers, insurance, and a company car. Be part of impactful projects that shape the future of technology while maintaining a healthy work-life balance.

Ready to inspire?

Apply now and take the next step in your career. Let’s build the future together!