Drive causal inference capabilities across complex biological systems using multi-modal datasets. Design and build causal machine learning systems that enable a deeper understanding of biological mechanisms and accelerate scientific discovery. Bring expertise in probabilistic graphical models, large-scale graph algorithms, and deep learning techniques for causal discovery.
Expanding our team of motivated technologists to deliver results in technology consulting and looking for a Machine Learning Architect with experience in GCP cloud who is passionate about helping customers build AI/ML solutions at scale. As an experienced technologist and interpersonal skills, you will work directly with customers as part of a delivery team, helping to enable innovation by creating Machine Learning solutions that align to business goals.
Work on various machine learning challenges to build systems and machine learning models to improve the experience for both Pinners and creators on Pinterest at scale. Apply the latest advances in deep learning and machine learning to personalize Pinterest users’ experience. Develop new features to improve Pinterest’s user and pin understanding in models.
This role places you at a unique intersection of theoretical innovation and transformative application. You'll tackle complex modelling challenges that require both academic rigor and practical ingenuity. Your research won't just advance the field of machine learning—it will directly influence strategic decisions, optimize product performance, and shape the future direction of M-KOPA's offerings.