BnBerry
Machine Learning Specialist
BnBerryPoland22 hours ago
Full-timeRemote FriendlyEngineering
BnBerry has been shaping the rental and housing industry for more than a decade. Now we are launching a disruptive travel-tech project where machine learning is the core engine, not a side tool.

We are looking for driven minds — people who live and breathe machine learning, who learn and build fast and who already proved it by building working projects, startups, or ambitious personal experiments.

Requirements

  • Proven experience building production systems around LLMs, especially fine-tuning and prompt engineering.
  • Strong backend engineering skills in Python (FastAPI or similar), with ability to build service layers and interface with external APIs (e.g. OpenAI).
  • Practical experience with vector databases like Pinecone, Weaviate, Qdrant, or FAISS — including document ingestion, indexing, and query ranking.
  • Experience tracking and analyzing user behavior / feedback to extract ranking signals and patterns.
  • Familiarity with embedding models, chunking strategies, and hybrid search logic.
  • Ability to design and implement lightweight data pipelines for dynamic preference updates and context generation (e.g. Pandas, DuckDB, Airflow, etc.).

Bonus Skills (Highly Valued)

  • Applied experience with computer vision: image classification, detection, segmentation, generative models.
  • Experience combining vision and language models in real-world applications.
  • Understanding of LLM fine-tuning and transfer learning (even if not used in this project).
  • Experience with fast experimentation: A/B testing, ranking evaluation, or online learning approaches.

Who We're Looking For

  • You are passionate about ML and keep up with the latest research and frameworks.
  • You build fast — startup prototypes, hackathon projects, ambitious personal work — and you ship.
  • You are not buried in legacy stacks. Your skills are fresh, modern, and relevant.

What We Expect From Your Application

  • A short CV or summary about yourself.
  • Description of ML project(s) you've worked on: scope, stack, and results.
  • Bonus: link to GitHub, portfolio, or personal site.

Benefits

  • Work on a revolutionary product at the intersection of travel and machine learning.
  • Direct impact: your models go to production and shape the core of the product, not stay in research slides.
  • Fast growth environment: exposure to modern ML stacks (transformers, multimodal ML, computer vision) with constant room to experiment.
  • Freedom & flexibility: fully remote setup, no corporate bureaucracy, focus on output not hours.
  • Ownership: you'll have autonomy in decision-making and the chance to influence product direction.
  • Flat team structure: work directly with founders and senior engineers, no endless management layers.
  • Visibility: your contributions will be recognized, not lost in a big company hierarchy.

Key Skills

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