
Mid LLM Engineer
9w2 months agoTooploox
Warsaw, PL · Full-time · PLN 150,000 – PLN 250,000
About this role
We’re Tooploox, a Solvd Inc. company creating AI-powered products and services that make a real difference. Our team of nearly 200 specialists includes a 50+ person R&D team with many PhDs, pioneering AI solutions from healthcare to e-commerce. We’ve published research in top-tier venues like NeurIPS and ICML while delivering real-world applications.
As a Mid Applied Researcher, bridge cutting-edge research and real-world applications by designing and implementing modern LLM fine-tuning and optimization approaches. Focus on applied research projects including retrieval-augmented systems (RAG), multimodal modeling, and large-scale learning for e-commerce. Work on algorithms from idea stage to deployment with robust experimentation pipelines.
Interact directly with partners, collaborating closely with engineering and product teams to bring research prototypes into the eBay ecosystem. Contribute to Core AI strategy by taking ownership of research components and delivering measurable impact. Collaborate with world-class researchers on technical discussions, documentation, and internal thought leadership.
Now with greater global reach and resources as a Solvd Inc. company, we keep our creative, human-scale culture in Poland. Enjoy space to grow, freedom to innovate on meaningful AI projects, and flexibility in working hours and location while building relationships with the team.
Requirements
- Strong research foundation in NLP, LLMs, neural architectures, and modern training/fine-tuning methodologies
- Team-work attitude with a clear technical communication mindset and the ability to work independently on well-scoped problems
- Hands-on coding skills with proven experience in implementing, evaluating, and scaling machine learning models
- Data-based problem-solving skills, specifically the ability to translate complex technical work into business impact and quantifiable results
- Analytical thinking and a structured approach to solving research challenges
- Fluency in English, as you will be an integral part of an international, English-speaking environment
Responsibilities
- Bridge cutting-edge research and real-world applications by designing and implementing modern LLM fine-tuning and optimization approaches
- Focus on applied research projects including retrieval-augmented systems (RAG), multimodal modeling, and large-scale learning for e-commerce
- Work on algorithms from the idea stage to deployment, building robust experimentation pipelines and evaluation frameworks for production-ready AI
- Interact directly with partners, collaborating closely with engineering and product teams to bring research prototypes into the eBay ecosystem
- Contribute to Core AI strategy by taking ownership of research components and delivering measurable impact on product-facing systems
- Collaborate with world-class researchers to contribute to technical discussions, documentation, and internal thought leadership
Benefits
- Flexibility to choose your working hours and location
- Value remote work with invitation to join in person to build relationships
- Creative, human-scale culture with space to grow and freedom to innovate
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