Machine Learning Engineer

Join Our Team at Causaly: Machine Learning Engineer

Founded in 2018, Causaly accelerates the acquisition of knowledge and development of insights in Biomedicine. Our production-grade generative AI platform for research insights and knowledge automation enables thousands of scientists to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents, and other data sources… within minutes.

Collaborate with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety, and Competitive Intelligence. Learn more about our mission and innovations by visiting our .

We are proudly backed by top venture capitalists, including ICONIQ, Index Ventures, Pentech, and Marathon.

About the Role

We are seeking a passionate Machine Learning Engineer to join our AI organization at Causaly. You will join an interdisciplinary team of experts to build scalable and robust solutions for highly complex NLP problems that drive business impact. You will develop and implement cutting-edge machine learning algorithms to help us extract valuable insights from large biomedical datasets. Please note that we are unable to sponsor visas for this position.

Responsibilities

• Lead the development and optimization of machine learning models and algorithms for processing and extracting insights from scientific literature.
• Collaborate with Research Engineers to experiment with new ideas, evaluate models, and improve performance.
• Work with the engineering team to ensure seamless integration of machine learning models into Causaly's platform, ensuring accuracy, efficiency, and scalability.
• Participate in code reviews and ensure high-quality standards for all deliverables.
• Stay up-to-date with the latest research and advancements in machine learning and related fields.

Requirements

• MSc/PhD in computer science, machine learning, or equivalent.
• Strong analytical and proven 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 such as transformers/CNNs.
• Excellent programming skills in Python and object-oriented programming paradigms.
• Agile software development experience.

Preferred Qualifications

• Experience fine-tuning LLMs for NLP tasks in the industry.
• Experience in Biomedical data or computational sciences.
• Experience with cloud platforms such as GCP or AWS.
• Experience with MLOps/LLMOps frameworks and best practices.

Benefits

• Competitive compensation package.
• Private medical insurance (underwritten on a medical health disregarded basis).
• Life insurance (4 x salary).
• Individual training/development budget through Learnerbly.
• Individual wellbeing budget through Juno.
• 25 days holiday plus public holidays and 1 day birthday leave per year.
• Hybrid working (home + office).
• Potential to have a real impact and accelerated career growth as an early member of a multinational team building a transformative knowledge product.

Be Yourself at Causaly

Diversity, Equity, Inclusion - These are more than just words at Causaly; they encompass how we work together, build teams, grow leaders, nurture innovation, and connect with the customers and communities we serve.

We are on a mission to accelerate scientific breakthroughs for ALL humankind. We are proud to be an equal opportunity employer and welcome applications from all backgrounds. Causaly fairly considers qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic/family status, veteran status, or any other characteristic.

Company Name: Causaly
Job Title: Machine Learning Engineer