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Senior Search ML Engineer - NLP in Oslo

RavenPackPosted 3 weeks ago
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Job Description

Join RavenPack in Oslo as a Senior Search ML Engineer specializing in NLP. Architect intelligent search engines for financial big data, develop advanced relevance models, query understanding, and ranking systems. Leverage machine learning to enhance decision-making for hedge funds and banks. Ideal for data scientists with 4+ years in search and NLP.

Requirements

  • Master’s or PhD in a quantitative field (e.g., Computer Science, Physics, Mathematics) and 4+ years of professional experience in data science with a focus on Search or Recommender Systems
  • Proven track record of working on search relevance, ranking, query understanding or solving closely-related NLP problems
  • Demonstrable, hands-on experience building, fine-tuning, and evaluating a range of language models for specific tasks like classification, NER, and semantic similarity
  • Experience in experimental design and statistical analysis. Expertise in creating evaluation datasets and developing relevance guidelines
  • Talent for structuring ambiguous problems and applying logical reasoning
  • High proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, Hugging Face) and familiarity with SQL or other query languages
  • Ability to distill complex findings into clear, concise insights for diverse audiences

Benefits

  • Growth Opportunity: Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and Marbella
  • International Culture: Be part of a diverse, global organization with a truly international culture
  • Team of Superstars: Work alongside a talented team of professionals, including Silicon Valley executives and Wall Street veterans
  • Competitive Compensation: Highly competitive salary package and performance-based bonuses
  • Relocation Assistance: Comprehensive relocation support to the beautiful Costa del Sol
  • Work-Life Balance: Paid vacation, flexible time-off, and a flexible work policy
  • Continuous learning: Support needed to grow within the team

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