Machine Learning Engineer

Winnow is a technology company that aims to solve the $1 trillion problem of food waste. They are looking for a Machine Learning Engineer to join their team and help develop cutting-edge solutions to complex food recognition problems. The role involves designing tests and experiments to build machine-learning and AI models, maintaining data quality, and collaborating with other teams to deploy models to Winnow's applications.

Requirements

• Minimum Master's degree in Machine Learning, Computer Science, Mathematics, Statistics or equivalent
• Experience in developing and deploying ML and AI models end-to-end gained in at least one corporate environment
• Strong knowledge of one or more of the following areas: Object Detection, Image Classification, Action Recognition, Image Generation, or Semantic Segmentation
• Experience with modern deep learning approaches, including transformer-based models and multimodal systems (LLMs/VLMs)
• Expertise in working with TensorFlow or PyTorch
• Experience adapting modern model architectures to solve real-world problems
• Familiarity with Linux and AWS
• Experience with model inference and optimisation tools (e.g. ONNX, TensorRT or similar)
• Good programming skills using Python
• Comfortable working independently, prototyping solutions, and bringing them to production
• Teamwork, knowledge transfer, process documentation
• Passionate about Machine Learning and Artificial Intelligence

Benefits

• Competitive base salary
• Meal tickets - 40 RON per working day
• 2 Wellness hours per month plus a 274 RON gross monthly wellness allowance
• 25 days of paid vacation time in addition to national holidays
• Company part-funded private health insurance and eye care allowance
• Life insurance (3 times base salary)
• Company stock options package
• Eligible for discretionary annual bonus
• Employee Assistance Programme - 24/7 helpline for your wellbeing
• Learning and development allowance of 1,730 RON annually
• Hybrid way of working
• Company provided breakfast & snacks on office days
• Early Finish Fridays
• Our own office space with a great working environment