Mid LLM Engineer

2w2 weeks ago

Tooploox

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