Machine Learning Specialist

BnBerry has been shaping the rental and housing industry for more than a decade. Now we are launching a disruptive traveltech 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 finetuning 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 realworld applications.
  • Understanding of LLM finetuning and transfer learning (even if not used in this project).
  • Experience with fast experimentation: AB 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 decisionmaking 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.