Computer Vision Engineer

Summary

The job is for a Machine Learning Engineer at an early-stage food tech company that specializes in using deep learning and AI to improve the global food system. The role involves solving challenges in computer vision, implementing machine learning methods, training models, analyzing performance, and developing tools for automation.

Requirements

• 3+ years (required) 5+ years (desired) experience of applying machine learning and deep learning methods in the industry
• Experience in developing practical deep learning applications using detection architectures (Faster-RCNN, SSD, YOLO, EfficientDet)
• Solid theoretical understanding of machine learning and neural networks
• Experience with machine learning methods, such as active learning, clustering, semi-supervised learning, zero- and few-shot learning
• Solid hands-on software development skills in Python (numpy, scipy, scikit-learn, OpenCV) and familiarity with C++
• Ability to write clear, efficient and scalable code
• Experience with one or more Deep Learning Framework (Pytorch, Tensorflow)
• Analytical mindset, strong abstract thinking skills

Responsibilities

• Solve research and clients’ challenges in the field of computer vision using deep learning methods
• Implement and modify machine learning methods using best software development practices
• Train, analyze and report model performance
• Develop tools for further automating research and analysis

Benefits

• Competitive salary
• Strong equity
• Flexible-working
• Open to remote working
• 25 days holiday each year
• Paid sick leave for physical and mental health needs
• Unlimited fresh fruit, tea, coffee and healthy snacks provided
• Paid maternity, paternity, adoption or shared parental leave
• Pension