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Regarding the position
Location: distant Poland/Europe
Pay range: PLN 19 000–27 000 gross (UOP) | PLN 23 000–33 000 net (B2B)Employment type: employment contract or business-to-business (B2B) contract (self-employed)
We are a rapidly expanding technology firm founded by skilled international professionals. Our product is an AI-powered customer service platform that is well valued by small and medium-sized businesses. Our long-term objective is to provide a seamless user experience for individual users while also assisting company owners globally in expanding their enterprises by providing them with an excellent tool that boosts sales. We are well-positioned to become the category-defining business of the AI age of customer success, which is our goal.
Here are some facts regarding who we are:
. According to G2's Best Software Awards 2024, we are one of the Top 50 AI and Customer Service Products. Right now, we have a 4.7/5 rating on Shopify and G2.
. Every month, 350 million unique visitors—or 4% of the global population—view our widget.
. With the new Tidio AI technology (Lyro), which is available to customers even on a free subscription, up to 70% of customer questions might be answered in a couple of seconds. This is a true revolution in AI!
. We presently employ more than 170 wonderful individuals.
. We raised $25 million in a Series B investment round in 2022 (see the report on TechCrunch).
. Our monthly MRR was above $1 million in June 2023.
Do you want to see what it's like to work with us?
Check out our #GrowWithTidio video
Are you curious about our ML Team?
At Tidio, we think AI will revolutionize how companies interact with their clientele. As a leading provider of conversational chatbot solutions, we are leading this shift. To join our small but powerful machine learning team, we are seeking a highly skilled (Senior) machine learning engineer.
Joining the ML team as a (Senior) Machine Learning Engineer will allow you to be a vital member of our six-person team and help progress conversational AI. You will work closely with our talented engineers and product executives to design, build, and enhance the state-of-the-art NLP models and algorithms that support our platform. This is a unique opportunity to turn your passion for machine learning into high-quality products that offer customers real value. By providing innovative conversational AI products, you will be able to reach millions of consumers globally.
It is important to note that we just obtained a grant of 11.7 million PLN to improve generative open-source models on our data and substitute our own LLMs for external ones.
You will do the following as a Senior Machine Learning Engineer:
. Join a small team whose objective is to develop tools based on text data to assist in the automated analysis of our clients' issues.
. Oversee and direct the whole machine learning lifecycle, including data preparation, model deployment, data pipeline problems, experimentation, and turning research into dependable production-level solutions.
. Create, develop, and enhance machine learning models, especially in natural language processing, to enhance our chatbot's language comprehension and conversational skills.
. Stay current with the most recent findings and methods in NLP and deep learning.
. Improve the infrastructure for production systems that use machine learning.
. After monitoring and assessing the model's performance in actual environments, make any necessary modifications.
. Work together with technical teams and product managers to find and use machine learning (ML) solutions for product features.
Are you curious about what we do? Read this article about how we developed Lyro, the first fully conversational AI chatbot for SMBs, in just three months, authored by our Machine Learning Lead, Bartek Kowalczuk >>. The URL is https://bit.ly/3LvBd4E. Check out our ML in PL Conference 2022 poster >> https://bit.ly/3Rz0E9h, as well as articles on adding pseudo-labeling to datasets >> https://bit.ly/3OI0gCw and improving chatbot intent classification >> https://bit.ly/4gndikQ.You're the ideal match if you:
. own more than four years of industry experience developing deep learning and natural language processing models.
. have a solid grasp of common machine learning frameworks, PyTorch, and Python.
. Have a strong background in software engineering and production model deployment.
. Have a strong desire to improve yourself and keep up with the most recent publications and developments in your field of expertise.
. Think like a team player.
. possesses fluency in English communication.
. Asking about problem-solving, communication, and ownership skills now seems like a rhetorical question, doesn't it?
You'll receive bonus points for:
. MLOps expertise.
We want to provide you with:
. Pay up to PLN 33,000 in a business-to-business arrangement or an amount comparable to that in an employment contract
. Collaborate with a seasoned team that isn't scared to try new things;
. work remotely with flexible hours; use one of our offices in Poland or reserve a coworking space in your city;
. great development opportunities—company-sponsored conferences and courses;
. 26 days of vacation guaranteed annually;
. individual work tools—MacBook Pro, Dell screen, JBL headphones? You can customize the equipment to your needs! Sports and wellness benefit;
. private medical care; mental health program: individual therapy sessions and resources for staff members; free access to one of the most well-known e-book/audiobook services
. Frequent social gatherings (team activities, company-wide offsites)
. Spend money on one-on-one English language instruction;
. When you email your resume, what happens?
. interview with a recruiter on the role and the group [1 hour]
. Interview on your experience with the team and @Bartek Kowalczuk (Machine Learning Lead) [1,5h]
. An assignment related to recruiting
. Technical call with the Machine Learning Team (questions and feedback about the work) [1,5 hours]
. Fireworks and an offer!
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