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Senior Machine Learning Engineer NLP

2 miesięcy temu


al Wojska Polskiego Szczecin, Polska Tidio Pełny etat
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our small but mighty Machine Learning team at Tidio. As a key member of our team, you will play a crucial role in building and refining industry-leading NLP models and algorithms that power our conversational AI platform.

Key Responsibilities
  • Design, build, and refine machine learning models, particularly in NLP, to improve our chatbot's conversational abilities and language understanding.
  • 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.
  • Collaborate with product managers and engineering teams to identify and implement ML solutions for product features.
  • 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.
Requirements
  • 3+ years of experience building NLP and deep learning models in industry settings.
  • Expert knowledge in Python, PyTorch, and common ML frameworks.
  • Strong software engineering skills and experience deploying models to production.
  • Strong passion and drive for self-development – following the latest trends and publications in the field of your specialization on an ongoing basis.
  • Team-player mindset.
  • Fluent English communication skills.
What We Offer
  • Salary up to PLN 33,000 under a B2B contract or an equivalent within the employment contract.
  • 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.
  • 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's Next
  1. Screening call with a recruiter about the position and the team.
  2. Interview with Bartek Kowalczuk (Machine Learning Lead) and the team about your experience.
  3. A recruitment assignment.
  4. Technical call with the Machine Learning Team (feedback on the task with additional questions).
  5. Offer and further discussion.