Machine Learning Engineer Generative AI

Join our cutting-edge food-tech company that pioneers plant-based food creations using data-driven methods. We're looking for an experienced and passionate Machine Learning Engineer to drive our R&D initiatives. This role primarily focuses on the research, prototyping, and development of state-of-the-art data-driven algorithms and theoretical solutions, especially in the domains of geometric machine learning and generative methods for recipe generation.

Requirements:

• A Bachelor Degree in Math, Engineering, Computer Science, or a related field.
• 4+ years of hands-on experience in Machine Learning R&D or a similar research-focused role.
• Solid foundation in data structures, data modeling, and software architecture.
• Profound understanding of deep learning theories, architectures, and libraries such as TensorFlow, PyTorch, and Keras.
• Experience or interest in graph neural networks or similar techniques is a major plus.

Responsibilities:

• Research & Development: Lead R&D initiatives by exploring, prototyping, and developing state-of-the-art generative AI models for recipe generation.
• End-to-End ML Pipeline: From data acquisition and preprocessing to model training and validation, be the mastermind behind our innovative prototypes.
• Data Processing: Design pipelines for handling large-scale and unstructured data, ensuring it's ready for high-quality modeling.
• Collaboration: Work hand-in-hand with data scientists to refine and enhance machine learning models, pushing the boundaries of what's possible.
• Robust Prototyping: Ensure that all prototypes are scalable, efficient, and ready for further refinement or production consideration.