Senior Machine Learning Engineer, Tidio

• Have 4+ years of experience building NLP and deep learning models in industry settings
• Have expert knowledge in Python, PyTorch, and common ML frameworks
• Have strong software engineering skills and experience deploying models to production
• Have a strong passion and drive for self-development – following the latest trends and publications in the field of your specialization on an ongoing basis
• Have a team-player mindset
• Can communicate in English fluently
• At this point, asking about ownership, communication, and problem-solving skills seems like a rhetorical question, right?

Desirable

• As a leading provider of conversational chatbot solutions, we are at the forefront of this revolution. That's why we are looking for an exceptionally talented (Senior) Machine Learning Engineer to join our small but mighty Machine Learning team
• By joining the ML team as a (Senior) Machine Learning Engineer, you will become a crucial member of our 6-person team and help us push the boundaries of conversational AI
• You will work closely with our talented engineers and product leaders to ideate, build, and refine industry-leading NLP models and algorithms that power our platform
• This is a unique opportunity to turn your passion for machine learning into world-class products that deliver real value to the customers
• You will provide state-of-the-art conversational AI products on a global level, reaching millions of consumers
• Be a part of a small team whose goal is to build tools on top of text data, to help in the automatic analysis of our client's problems
• Own and drive the full machine learning lifecycle from data preprocessing to model deployment, overcoming challenges in data pipelines, experimentation, and transitioning research into robust production-level systems
• Design, build, and refine machine learning models, particularly in NLP, to improve our chatbot's conversational abilities and language understanding
• Keep up-to-date with the latest research and techniques in deep learning and NLP
• Optimize infrastructure for machine learning production systems
• Monitor and analyze model performance in live environments and implement improvements
• Collaborate with product managers and engineering teams to identify and implement ML solutions for product features

• Screening call with a recruiter about the position and the team [1h]
• Interview with @Bartek Kowalczuk (Machine Learning Lead) and the team about your experience [1,5h]
• A recruitment assignment
• Technical call with the Machine Learning Team (feedback on the task with additional questions) [1,5h]
• Offer and fireworks! 🎉