Czym będziesz się zajmować? We're looking for a Senior ML Research Engineer to lead the design, implementation, and optimization of large-scale models powering intelligent agents. Your role spans model architecture, shipping, and production monitoring.Key Responsibilities:Conduct cutting-edge research on agentic AI systems exploring new methods in reasoning, memory, planning, and multi-agent collaboration and translate findings into production-ready prototypes.Design, fine-tune, and evaluate large language models and neural networks for modular agent behaviorBuild robust ML pipelines (data ingestion, feature engineering, model training, serving, monitoring)Implement evaluation frameworks, A/B testing, and performance metrics to quantify agent effectivenessEnsure reproducibility, traceability, and compliance across ML lifecycleCollaborate with backend engineers to define inference service SLAs and efficient real-time ML deliveryMentor junior ML teammates and establish team-level best practicesWhy You Should JoinCompetitive equity & pay - get in early and own what you build.Work closely with experienced founders with a proven startup track record.Move fast, ship fast - no corporate bureaucracy.Shape the AI revolution in healthcare - massive market, untapped potential

Kogo poszukujemy? Requirements5+ years as an ML Engineer or applied ML researcher with production model deployment experienceStrong Python skills, experience with ML frameworks (TensorFlow, PyTorch) and LLM tooling (HuggingFace)Familiarity with data pipelines, SQL, cloud platforms (AWS)Solid understanding of model evaluation, A/B testing, and ML performance metricsExcellent collaboration skills with product, backend, and data teamsNice to HavesPrior work with conversational agents, retrieval-augmented generation, or multi-model orchestrationExperience with vector search stacks (e.g. Pinecone, FAISS)Reinforcement Learning experienceStartup experience and ability to navigate ambiguity and shape technical direction