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!
- Design, develop, implement and deploy both cutting-edge and well-established machine learning methods and services 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.
- 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).
- Experience with LLM focused libraries: transformers, langchain, vLLM, etc.
- Hands-on experience with LLM training and finetuning, data processing, and advanced prompting techniques.
- Experience with LLM inference optimization techniques.
- Fluency in Polish and English (you will attend meetings with English speaking clients).
- Understanding of the latest research and tricks surrounding LLMs.
- Experience with designing and implementing machine learning solutions in a production environment, particularly with large language models (LLMs).
- Experience with DevOps/MLOps tools and environments: DVC, S3, Docker, podman, kubernetes, etc.
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!
-
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
- Great offices in Wroclaw and Warsaw - pets welcome, comfy spaces, library, games, beautiful design, parties, sweets and full fridges