Founded in 2018, Causaly’s AI platform forenterprise-scale scientific research redefines the limits of humanproductivity. We give humans a powerful new way to find, visualizeand interpret biomedical knowledge and automate critical researchworkflows, accelerating solutions for some of the greatest healthchallenges we face. We work with some of the world's largestbiopharma companies and institutions on use cases spanning DrugDiscovery, Safety and Competitive Intelligence. You can read moreabout how we accelerate knowledge acquisition and improve decisionmaking in our blog posts here: Blog - Causaly We are backed by topVCs including ICONIQ, Index Ventures, Pentech and Marathon. The AIEngineer will be a key addition to Causaly’s AI organisation. Youwill work alongside an interdisciplinary team of experts to buildscalable and robust solutions to highly complex NLP problems thatdrive business impact. You will develop and implement cutting-edgemachine learning algorithms to help us extract valuable insightsfrom large biomedical datasets. Responsibilities: - Lead thedevelopment and optimization of machine learning models andalgorithms for processing and extracting insights from scientificliterature. - Collaborate with Research Engineers to experimentwith new ideas, evaluate models, and improve performance. - Workwith the engineering team to ensure seamless integration of machinelearning models into Causaly's platform, ensuring accuracy,efficiency, and scalability. - Participate in code reviews andensure high-quality standards for all deliverables. - Stayup-to-date with the latest research and advancements in machinelearning and related fields. What we're looking for - Stronganalytical and proven problem-solving skills. - Experiencefine-tuning LLMs for NLP tasks in industry. - Demonstrable industryexperience delivering AI/ML frameworks for a product. - Expertisein working with ML frameworks such as PyTorch, Tensorflow,scikit-learn, Langchain. - Experience with DL architectures such astransformers/CNNs. - Excellent programming skills in Python andobject-oriented paradigm. - Agile software development experience.Preferred Qualifications - Experience in Biomedical data orcomputational sciences. - Experience in cloud platforms such as GCPor AWS. - Experience with MLOps/LLMOps frameworks and bestpractices. Benefits Competitive compensation package. Privatemedical insurance. Life insurance (4 x salary). Personaldevelopment budget. Individual wellbeing budget. 25 days holidayplus bank holidays. Your birthday off! Potential to have realimpact and accelerated career growth as a member of aninternational team that's building a transformative AI product. Weare on a mission to accelerate scientific breakthroughs for ALLhumankind, and we are proud to be an equal opportunity employer. Wewelcome applications from all backgrounds and fairly considerqualified candidates without regard to race, ethnic or nationalorigin, gender, gender identity or expression, sexual orientation,disability, neurodiversity, genetics, age, religion or belief,marital/civil partnership status, domestic / family status, veteranstatus or any other difference. #J-18808-Ljbffr
