Machine Learning Research Engineer

Miro is looking for a Machine Learning Research Engineer to drive the architectural decisions behind the "Intelligent Canvas". The role involves designing, training, and shipping production-grade ML models, conducting deep exploratory research, and applying advanced fine-tuning strategies. The successful candidate will have a strong foundation in ML theory and statistics, solid engineering fundamentals, and deep proficiency in Python and the modern ML stack.

Requirements

• Strong foundation in ML theory and statistics
• Solid engineering fundamentals
• Deep proficiency in Python and the modern ML stack
• Gradient Debugging: Expertise in PyTorch or JAX, including experience with distributed training and debugging complex gradient issues
• Applied Research: Ability to read, implement, and improve upon the latest academic papers (NeurIPS, ICML, CVPR)
• Track record of end-to-end ML delivery, from exploratory data analysis (EDA) and feature engineering to training, validation, and deploying models in a production environment
• Experience with large-scale systems, capable of designing resilient architectures that handle vast datasets and high-throughput inference requests
• Strong engineering mindset, valuing code quality, testing, modularity, and maintainability just as highly as model accuracy

Benefits

• Competitive equity package
• Health insurance for you and your family
• Corporate pension plan
• Lunch, snacks and drinks provided in the office
• Wellbeing benefit and WFH equipment allowance
• Annual learning and development allowance to grow your skills and career
• Opportunity to work for a globally diverse team