Machine Learning Research Scientist
2 weeks ago
Causaly is a pioneering company that accelerates knowledge acquisition and decision-making in Biomedicine. Our production-grade generative AI platform enables scientists to discover evidence from millions of academic publications, clinical trials, and other data sources in minutes.
Job OverviewWe are seeking a highly skilled ML Research Engineer to join our AI organization. As a key member of our team, you will work alongside experts to develop and implement novel solutions to complex challenges in biomedical research and drug discovery.
Responsibilities- Fine-tune and optimize large language models for specific tasks in biomedical research and drug discovery
- Design and implement intelligent agents for generating and testing scientific hypotheses, interacting with our platform, and external data sources
- Develop reinforcement learning algorithms to automate aspects of drug discovery, including target identification and lead optimization
- Design, develop, and maintain model training, evaluation, monitoring, dataset annotation, and dataset management infrastructure
- Adopt a test-driven approach to produce high-quality and efficient code, perform code reviews, and adopt agile methodologies
- Document development milestones for a hybrid and multidisciplinary team
- Collaborate with scientists to design large-scale experiments to mature and productionize ML capabilities
- MSc/PhD in Computer Science, Machine Learning, or equivalent
- Strong analytical and problem-solving skills
- Demonstrable industry experience delivering AI/ML frameworks for a product
- Expertise in ML frameworks such as PyTorch, TensorFlow, scikit-learn, and Langchain
- Experience with DL architectures like transformers and CNNs
- Excellent programming skills in Python and object-oriented paradigm
- Agile software development experience and familiarity with development management tools
- Excellent written and verbal communication skills
- Applied RAG experience in industry
- Experience in Biomedical data or computational sciences
- Experience in building Reinforcement Learning frameworks
- Experience with cloud platforms like GCP or AWS
- Experience with MLOps/LLMOps frameworks and best practices
- Competitive compensation package
- Private medical insurance
- Life insurance
- Individual training/development budget
- Individual wellbeing budget
- 25 days holiday plus public holidays and 1 day birthday leave per year
- Hybrid working
- Potential for real impact and accelerated career growth
Causaly values diversity, equity, and inclusion. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, gender, sexual orientation, disability, or any other difference. We are committed to creating an inclusive environment where everyone belongs and can thrive.
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