AI Scientist / Machine Learning Engineer

Selvita is a global, integrated service provider with laboratories in Poland (Kraków, Poznań and Wrocław), Croatia (Zagreb), and offices in Cambridge, UK, as well as in the Greater Boston Area and the San Francisco Bay Area in the US. We deliver comprehensive solutions that support international clients throughout drug discovery and drug development. As one of the largest preclinical contract research organizations in Europe, Selvita is guided by a clear mission: to bridge the gap between early drug discovery and the clinical stage of drug development. At Selvita, we are driven by partnership, excellence, passion, commitment and integrity. We build strong, collaborative relationships with our clients, uphold the highest standards of quality, pursue innovative solutions with enthusiasm, advance drug development with dedication and act with honesty and transparency in everything we do. We are looking for a talented AI Scientist / Machine Learning Engineer to join our growing multidisciplinary AI Team. In this role, you will work with state-of-the-art deep learning technologies alongside highly qualified specialists in drug discovery. You will contribute to shaping Selvita’s internal AI strategy and help transform operational workflows using Large Language Models. Key Responsibilities - Designing and implementing LLM-based solutions, including RAG pipelines, to automate internal workflows and extract insights from preclinical data - Applying AI-driven approaches to chemical space exploration - Developing models for chemical reaction prediction and retrosynthesis - Using generative methods to support drug design and optimization - Collaborating with teams across Selvita to understand their workflows and identify opportunities for artificial intelligence and automation Your Background - Master’s or PhD degree, preferably in machine learning, statistics, computer science, cheminformatics, bioinformatics, computational chemistry, physics or a related discipline - Strong knowledge of modern machine learning and artificial intelligence methods - At least 3 years of hands-on experience in machine learning, with a focus on LLMs - Advanced Python programming skills, including experience with deep learning frameworks and GPU acceleration for AI applications; knowledge of other programming languages would be an advantage - Experience working in Linux/Unix environments - Proven experience with GitLab and containerization tools - Fluent professional and scientific English Additional skills considered an advantage: - Background in bioinformatics, computational biology or life sciences - Basic knowledge of KNIME, R Shiny or other deployment tools Your Benefits Package - Working in world-class extensive research facilities and modern laboratories - Daily cooperation and know-how exchange with scientific experts - Additional benefits: a prepaid lunch card, private medical care, subsidized sports card, and office fruit provision - Internal Development initiatives including soft & leadership skills training programs - Recognition Program - Employee Referral Program - Support & incentive bonus for completing Ph.D - Various sports and engagement initiatives