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At Causal Foundry , we’re building AI-native systems that strengthen healthcare and supply chains across the world . Our platform powers real-time predictions, adaptive interventions, and data-driven decision support — working with partners like the Gates Foundation, Gavi, Google.org, Toyota Tsusho, and multiple Ministries of Health across Africa and Asia.

We’re looking for a Senior Machine Learning Engineer with deep expertise in reinforcement learning (RL), bandits, forecasting, and applied ML systems to join our global, mission-driven team to our offices in Barcelona. On this occasion we are specifically looking for candidates who have completed a PhD, or will have completed before the end of this year, 2025.

As a Senior Machine Learning / Reinforcement Learning Engineer at Causal Foundry , you will work on both foundational and cutting-edge AI challenges that drive impact across several fields like healthcare, supply chain, social systems, agriculture, and video games.

You will design, build, and deploy machine learning and reinforcement learning models for real-world decision-making—using techniques such as contextual and restless bandits , dynamic resource allocation , and causal inference . You’ll conduct detailed data analysis to improve data quality, evaluate model performance, and continuously enhance our adaptive AI infrastructure.

Collaboration with data engineers, product specialists, and domain experts will be key to ensuring that models meet operational and ethical standards and are successfully deployed to production environments at scale.

You’ll also engage in applied research , contributing to the evolution of new algorithms, testing innovative RL frameworks, and shaping the next generation of AI-native systems for global health and development .

• PhD in mathematics, statistics, physics, computer science or related fields
• Strong background and experience in various machine learning methods.
• Experience in data analysis processing in health-related projects.
• Advanced programming skills in Python and its scientific libraries +5y
• High level of English
• Attention to detail and effective verbal / written communication skills. Teamwork essential.

• 8+ years of experience in machine learning and data science
• Experience in deep learning, reinforcement learning, time series forecasting, survival analysis, ensemble learning, recommender systems and / or natural language processing
• Research experience, accredited by scientific publications in journals or conference proceedings.
• Experience in clear and accurate communication of results to decision-makers and other non-experts.

Be part of a diverse and innovative team that aims to use innovative machine learning technology to reduce health inequalities.

We hire great people from a wide variety of backgrounds because diversity makes our company stronger. If you share our values and our enthusiasm for AI, you will an excellent fit for our team.

Causal Foundry is a research and deployment company that aims to transform global equity to create a future where AI benefits everyone.

Our work culture is fast-paced and intensely focused , emphasizing individual responsibility and team collaboration. Our commitment to rigor ensures we develop top-tier technology.

Our company is committed to retaining only the most effective individuals. Our team comprises high-achievers who excel in their respective fields and consistently push the boundaries of what's possible in AI. By surrounding ourselves with extraordinary talents, we create a dynamic and stimulating workplace where innovation thrives.

In our team, performance and impact matter the most. Being part of the team is about delivering results and making contributions, with the understanding that roles may evolve.