machine learning engineer for biomedical solutions

Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed. It builds K Pro, an AI scientist for pharmaceutical research and strategic decision-making that orchestrates AI skills and tools to decode complex biology, accelerate research, and increase productivity. K Pro is built on a multimodal patient data network, state-of-the-art AI for biology, and a decade of experience working with pharmaceutical partners.

• Develop scalable machine learning libraries, tooling, and research workflows with research and data scientists
• Shape research infrastructure requirements and drive tool and software choices with the platform team
• Champion software engineering best practices and help researchers and scientists write maintainable, testable, efficient, and scalable code
• Design and enhance systems for experiment tracking, reproducibility, and end-to-end model lifecycle management
• Accelerate the rapid prototyping of novel models, bridging early research and robust implementation
• Handle other ad hoc responsibilities, tasks, and projects assigned by management

• Master’s or Ph.D. in Computer Science, Data Science, or a related quantitative field, with a strong focus on ML/AI
• 5+ Years of professional software development experience with Python
• Proven track record of deploying deep learning models into production
• Deep understanding of machine learning algorithms, statistical methods, and deep learning frameworks
• Mastery of PyTorch or TensorFlow
• Deep understanding of Transformer architectures, attention mechanisms, and recent advances in Generative AI
• Extensive experience with Hugging Face and knowledge of agentic workflows and RAG
• Experience with AWS, GCP, or Azure and SageMaker
• Strong engineering practices, including version control, comprehensive testing, CI/CD, and Docker
• Experience with distributed computing, distributed training for massive datasets, and ML workflow optimization, such as vLLM
• Excellent problem-solving skills and ability to analyze complex technical challenges
• Strong communication skills and ability to explain technical concepts to different stakeholders
• Ability to work autonomously, take tasks with limited detail, determine what needs to be done, and execute
• Будет плюсом: experience with clinical or omics data, genomic sequencing, transcriptomics, electronic health records, medical imaging processing and analysis, open-source ML contributions, research publications, proactive debugging of complex distributed systems, mentoring team members, driving a strong technical culture

• Flexible work organization
• Friendly and informal working environment
• Opportunity to work with an international team with strong technical and scientific backgrounds
• Position based in the Paris offices or remotely in France, UK, or Germany
• Location options include France, UK, or Germany