1 month ago
Remote, EMEASenior
Responsibilities
- Design, develop, and deploy ranking algorithms and retrieval models for highly relevant search results and content.
- Fine-tune and distill language models and implement semantic embedding techniques such as binary, matryoshka, and late interaction models.
- Architect and implement personalized recommender systems to improve user engagement and content discovery.
- Own the full machine learning lifecycle from ideation and data exploration through model deployment.
- Collaborate with product managers, software engineers, and data scientists to translate business needs into technical solutions.
- Research emerging trends and academic work in machine learning, NLP, and information retrieval, and prototype new approaches.
- Mentor and collaborate with team members in a cross-functional environment.
Requirements
- Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
- At least 3 years of professional experience building and deploying machine learning models in production.
- Significant experience with information retrieval, search, or recommender systems.
- Strong Python programming skills and familiarity with SQL or other query languages.
- Deep knowledge of PyTorch or TensorFlow and libraries such as Scikit-learn and Hugging Face.
- Hands-on experience with vector databases.
- Strong quantitative, statistical, mathematical, analytical, and problem-solving skills.
- Excellent written and verbal English communication skills.
- Experience in the financial domain is a bonus.
- Experience with MLOps tools and cloud platforms is a bonus.
- European legal working status is required.
Benefits
- Competitive salary and support for continuous professional growth.
- Opportunity to work on generative AI and SaaS products for the finance industry.
- International work environment with team members across more than 29 nationalities and 24 languages.
- Offices in New York, Madrid, and Marbella.
- Equal opportunity employer committed to diversity and inclusion.
Categories
About RavenPack
RavenPack builds NLP-driven analytics that turn unstructured content—news, filings, and social media—into machine-readable data for quantitative investors and risk teams. It sells data feeds, APIs, and a SaaS platform, including Bigdata.com, an agentic AI workspace launched in 2024 for financial research. Founded in 2003 and headquartered in Marbella, Spain, the privately held firm is used by hedge funds, banks, and asset managers.