Join Causaly as an ML Research Engineer

About Causally: Founded in 2018, Causaly is pioneering the advancement of knowledge in Biomedicine through its state-of-the-art generative AI platform. Our tools empower thousands of scientists to swiftly extract insights from a plethora of data including academic publications, clinical trials, and regulatory documents. Our partnerships with the world’s leading biopharma companies enhance our capabilities in Drug Discovery, Safety, and Competitive Intelligence. Learn more about our innovative approaches on our . Backed by prominent VCs like ICONIQ, Index Ventures, Pentech, and Marathon, we're scaling our impact globally.

Role Overview: ML Research Engineer

As an ML Research Engineer at Causaly, you will play a crucial role within our AI team. This position involves working alongside a multidisciplinary group of experts, tackling complex challenges in innovative ways. Your contributions will directly enhance our AI capabilities, influencing both the trajectory of Causaly and the field of biomedical research.

Key Responsibilities:

• Fine-tune and optimize large language models specific to tasks in biomedical research and drug discovery.
• Develop intelligent agents for hypothesis generation and testing, capable of integrating seamlessly with both the Causaly platform and external data sources.
• Implement and enhance reinforcement learning algorithms to streamline drug discovery processes like target identification and lead optimization.
• Manage the infrastructure for model training, evaluation, annotation, and data management, ensuring robust systems and efficient workflows.
• Employ a test-driven development framework to maintain a high-quality, efficient codebase, including conducting peer code reviews.
• Utilize agile methodologies to adapt solutions quickly to fit evolving product needs and document all development milestones comprehensively.
• Collaborate with scientists and engineers to design and execute large-scale experiments to advance and deploy ML technologies.

Requirements:

• Advanced degree (MSc/PhD) in Computer Science, Machine Learning, or a related field.
• Proven analytical skills and problem-solving abilities with substantial industry experience in AI/ML framework development.
• Proficiency in ML tools and frameworks such as Pytorch, Tensorflow, scikit-learn, and Langchain.
• Expertise in deep learning architectures, notably transformers and CNNs.
• Strong programming skills in Python and familiarity with object-oriented programming.
• Experience with Agile software development methodologies and tools like Jira or Rally.
• Exceptional written and verbal communication skills.

Preferred Experience:

• Industry experience with RAG applications.
• Background in Biomedical data or computational sciences.
• Knowledge in developing Reinforcement Learning frameworks.
• Experience with cloud platforms such as GCP or AWS and familiarity with MLOps/LLMops frameworks.

Benefits:

• Competitive salary and benefits package including private medical insurance and life insurance.
• Personal development and wellbeing budgets through platforms like Learnerbly and Juno.
• Flexible hybrid working model combining home and office environments.
• Generous holiday allowance plus special leave for your birthday.
• Opportunity to impact a growing international team and advance within a transformative industry.

At Causaly, we value diversity, equity, and inclusion — they are part of what we do and why we succeed. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Causaly is proud to be an equal opportunity employer, welcoming all to our team. Join us in our mission to accelerate scientific breakthroughs for all humankind.

Apply Now!

Ready to contribute to groundbreaking advancements in Biomedicine with a premier AI-driven research platform? We’re excited to hear from you. Apply today to become a part of our innovative team at Causaly!