Location: Poland/Europe, remote
Salary:
MID: PLN 18 000 - 25 000 net (B2B) | PLN 15.000 - 20 500 gross (UOP)
SENIOR: PLN 23 000 - 33 000 net (B2B) | PLN 19 000 - 27 000 gross (UOP)
Form of employment: Contract of employment or B2B contract (self-employed)
We are a fast-growing tech company created by experienced international talents. Our product is a top-rated, AI-driven customer service platform for small and medium businesses. Our long-term goal is to create a frictionless customer experience for individual users and, at the same time, help entrepreneurs worldwide grow their businesses by supporting them with a top-notch, sales-increasing tool. We aspire to become the category-defining company of the AI era of customer success and are in a good position to achieve it.
Here are a few facts about us:
Would you like to see what working with us looks like? Check out our #GrowWithTidio video 🎥👇
Want to know more about our ML Team?
At Tidio, we believe that AI will transform how businesses engage with their customers. 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 5-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.
As a (Senior) Machine Learning Engineer, you will:
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.
Want to know more about our work? Read this article, written by Bartek Kowalczuk, our Machine Learning Lead, on how we created Lyro – the first fully conversational AI chatbot for SMBs – in only 3 months >> https://bit.ly/3LvBd4E. Also, check our poster from ML in PL Conference 2022 >> https://bit.ly/3Rz0E9h.
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