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Technical Lead - Computer Vision in Worldwide

Summary

The job is for a Technical Lead to develop an AI operating system for kitchens to reduce food waste. The role involves driving product development, defining machine learning procedures, and pushing the boundaries of current methods. The company offers competitive salary, strong equity, flexible working, unlimited fresh fruit, tea, coffee, healthy snacks, paid parental leave, and pension.

Requirements

• Experience with one or more Deep Learning Frameworks (Pytorch, Tensorflow)
• Solid hands-on software development skills in Python (NumPy, SciPy, OpenCV, scikit-learn) and familiarity with C++
• Solid theoretical understanding of machine learning and neural networks
• Experience in developing practical deep learning applications using detection architectures (Faster-RCNN, SSD, YOLO, EfficientDet)
• Experience with tooling around running, managing and reporting on experiments (Neptune, WandB, MLflow)
• Experience with delivering high-quality products based on industry-focused projects

Responsibilities

• Develop a scalable and extendable product which is utilised with the pilots we have with global restaurant chains
• Frame clients’ challenges for the team to evaluate, suggest possible solutions and then help them deliver it in meaningful, measurable chunks
• Define procedure to implement, test and maintain machine learning methods through best practices and observability tools
• Discuss and guide the team on training, analysing and reporting model performance
• Define and evaluate tools for further automating research and analysis
• Push the boundaries of current methods by following and building upon the latest research in the context of object detection, classification and semantic segmentation, and propose new methods

Benefits

• Competitive salary
• Strong equity
• Flexible-working
• Unlimited fresh fruit, tea, coffee and healthy snacks provided
• Paid maternity, paternity, adoption or shared parental leave
• Pension