Machine Learning Analyst

at  Tidio

Location: Poland/Europe, remote
Salary: up to 22 000 net (B2B) | up to 18 260 gross (UOP)
Form of employment: Contract of employment or B2B contract (self-employed)

HERE ARE A FEW FACTS ABOUT US:

• We are among the Top 50 AI and Customer Service Products in G2’s Best Software Awards 2024. We currently rate at 4.7/5 in Shopify and G2.
• Every month, our widget is viewed by 350 million unique users, which is 4% of the global population,
• The new Tidio AI feature (Lyro) - answers up to 70% of customers’ questions in seconds and is available to users even on a free plan. It’s a real AI revolution!
• We currently hire over 170 fantastic people.
• In 2022, we secured $25 mln in a Series B Investment round (check TechCrunch’s article)
• In June 2023, our monthly MRR exceeded $1M.
  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 Machine Learning Analyst to join our small but mighty Machine Learning team.
By joining the ML team as a Machine Learning Analyst, you will become a crucial member of our 5-person team and help us push the boundaries of conversational AI. This is a unique opportunity to turn your passion for machine learning into world-class products that deliver real value to the customers.

AS A MACHINE LEARNING ANALYST, YOU WILL:

• Monitor models in production- looking for outliers, checking statistics, reporting model performance in time, and giving insights to ML team and product teams on various machine learning metrics (e.g., distributions, inference times);
• Create datasets - assigning labels to the datasets manually, developing autonomous ways to perform labeling like regex heuristics, performing and validating labeling using LLMs (external and self-hosted);
• Take care of the model validation before deployment - QA, performing direct tests on the model to assure its quality, developing tools to test it;
• Take care of dataset curation - analyzing our datasets to find errors, improve them, making sure they are stored correctly;
• Develop dataset intuition - being able to answer various questions about the data;
• Monitor the labeling workforce—during labeling processes, we send a lot of data to the outsourced workforce, and we need some QA on the samples we receive from them.
  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.

Please refer the Job description for details