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:

• 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

https://youtu.be/8xd44wCP5LI?si=RnkXrywOgHYaXBFw

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. Thats 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 clients 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 chatbots 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.

You are the perfect fit, if you:

• Have 3+ 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?

You will earn extra points for:

• MLOps experience.

We would like to offer you:

• Salary up to PLN 33.000 under a B2B contract or an equivalent within the employment contract
• Work with an experienced team that continually shares knowledge and is not afraid of testing new solutions
• Remote-first work with flexible hours
• Possibility to use one of our offices in Poland or book a coworking space in your city
• Great development opportunities – company-supported courses and conferences
• 26 days off guaranteed in a year
• Individual work tools—MacBook Pro, Dell screen, JBL headphones? You can tailor the equipment to your needs!
• Sport & wellness benefit or its financial equivalent.
• Private medical care or its financial equivalent.
• Mental well-being program – individual therapy sessions and resources for employees
• Free access to one of the most popular e-book/audiobook services
• Regular social events (company-wide offsites, team events)

What happens when you send your CV?

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

Dont hesitate and apply right away!

Diversity Statement

One of Tidio’s core values is to play fair. Therefore, we treat all candidates equally. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. This means recruitment and selection of talent to Tidio is only based on individual merit and qualifications directly related to professional competence.

We now rate at 4.5/5

85% recommend us to a friend

Read our reviews