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Vega Research Labs is a dynamic organization focused on innovation and continuous growth. Built on strong values such as integrity, transparency, and collaboration, it fosters an environment where people come first and ideas can thrive. Each project is approached with passion, expertise, and a forward-looking vision. Vega Research Labs believes in the power of teamwork and in building lasting relationships based on mutual trust. With a constant eye on change, it is committed to creating value, evolving every day, and contributing positively to the environment in which it operates.
AI for a proactive approach to healthcare
Maximing logistic using AI
Preventive Maintenance and Predictive Maintenance
AI for food ingredients recognition
Working at Vega Research Laboratories means joining a high-tech, research-driven team born as a spin-off from the University of Genoa. The company is made up of researchers, engineers, and developers working on artificial intelligence, machine learning, extended reality, and blockchain. The environment is informal yet rigorous, with a strong focus on experimentation, code quality, and scientific validation. Projects are hands-on and custom-built for sectors like healthcare, mobility, and Industry 4.0. Work is fast-paced but flexible, with hybrid opportunities and active involvement in applied research.
Vega offers the chance to work with cutting-edge technologies that have a tangible impact. Being part of Vega means contributing to European and industrial research projects (e.g., Horizon, PNRR), while maintaining strong ties to academia. Team members grow in a multidisciplinary environment, collaborating with professors, international partners, and industry clients. It’s the right place for innovators who want to prototype, experiment, and deploy real-world solutions. Growth is continuous, supported by training, workshops, and access to advanced tools and datasets.
Careers at Vega are built on technical expertise and individual initiative. There are no rigid tracks: growth is project-driven and based on responsibility and impact. Roles range from software developers and data scientists to project managers and industrial researchers. The structure is flat, promoting autonomy and full-cycle involvement from design to deployment. Performance is assessed continuously, with attention to problem-solving, innovation, and scientific contribution. The team is young, international, and growing.
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