Machine Learning Engineer NLP & LLM at Tooploox #vacancy #remote

Hi there!

We are Tooploox and we work on projects that improve people’s lives – in line with our mission, we have already changed the way people invest their money, build houses and take care of their health (just take a look at our client  portfolio ).

Feel invited!

What you will do:

  • Design, develop and implement both cutting-edge and well-established machine learning methods for content analysis, data retrieval, content classification, and others with a focus on NLP and LLM-related applications.
  • Collaborate closely with cross-functional teams to integrate machine learning solutions into products and platforms.
  • Work with world-class researchers and scientists to develop new machine learning methods and approaches.
  • Collaborate with data engineers and scientists to preprocess, clean, and structure large datasets for model training and evaluation, ensuring high-quality and scalable solutions.
  • Interact directly with a client – a multinational e-commerce company (eBay) to report progress and plan new tasks.

Experience and skills you need to join us:

  • Team-work attitude with great communication skills.
  • Software development and coding skills: Python, clean code, code reviews, algorithms and data structures.
  • Experience with deep learning/machine learning libraries: scikit-learn, keras, pytorch, tensorflow, etc.
  • Understanding of machine learning algorithms, model architecture, training techniques, and building performant inference pipelines.
  • Experience with text processing and adapting Natural Language Processing-based algorithms to the problem at hand.
  • Familiarity with externally hosted tools and frameworks (OpenAI and similar).
  • Fluency in English (you will attend meetings with English speaking clients).

It would be great if you also have:

  • Hands-on experience with LLM training and finetuning, data processing, and advanced prompting techniques.
  • Understanding of the latest research and tricks surrounding LLMs.

You may not meet all of the requirements above – but if you are comfortable with the majority of them we would love to see your CV!

Perks and Benefits:

  • 26 days of paid holiday 
  • We cover the cost of your training needs
  • English lessons
  • Flexible working hours and possibilities to work fully remote, hybrid or in one of our offices (Wroclaw and Warsaw)
  • Private health care plan
  • Multisport card
  • Psychologist support
  • Integration and lunch budget
  • Trustworthy hardware – MacBook, BOSE QC 35 II headphones or another, according to your needs
  • Profit sharing
  • Great offices in Wroclaw and Warsaw – pets welcome, comfy spaces, library, games, beautiful design, parties, sweets and full fridges

OpenAI scikit-learn Natural language processing (NLP) Code review data-structures Python clean code principles Machine Learning TensorFlow keras algorithms LLM PyTorch

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