Machine Learning Engineer Generative AI

Job Summary:

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.

Key Responsibilities:

• Research & Development: Lead R&D initiatives by exploring, prototyping, and developing
  
  

• End-to-End ML Pipeline: From data acquisition and preprocessing to model training and
  
  

• Data Analysis & Visualization: Dive into complex datasets to uncover opportunities and
  
  

• Data Processing: Design pipelines for handling large-scale and unstructured data, ensuring it's
  
  

• Collaboration: Work hand-in-hand with data scientists to refine and enhance machine learning
  
  

• Robust Prototyping: Ensure that all prototypes are scalable, efficient, and ready for further
  
  

• A bachelor degree in math, engineering, computer science, or a related field.
• Mathematical maturity.
• 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
  
  

• Experience or interest in graph neural networks or similar techniques is a major plus.