Senior ML Engineer - Search & LLM Ops

Join RavenPack

RavenPack is looking for an experienced Senior Machine Learning Engineer to join our Search & Recommendation team at our sunny headquarters in Marbella.

Your mission will be to architect and build the next generation of our search and recommendation intelligence. You will take ownership of the full machine learning lifecycle, from ideation and data exploration to model deployment. By creating sophisticated, scalable, and personalized content delivery systems, you will directly shape how top financial professionals worldwide discover and interact with the critical information that drives their decisions. This is a unique opportunity to solve complex challenges at the intersection of information retrieval, NLP and finance.

The ability to communicate effectively in English both in writing and verbally is a must. European legal working status is required.

What You'll Be Doing

As a key member of the team, you will have the autonomy to innovate and the responsibility to deliver robust, high-impact solutions.

Own Model Development: Lead the end-to-end design, development, and deployment of advanced ranking algorithms and retrieval models to deliver highly relevant search results and content.

Innovate in Semantic Search: Fine-tune and distill Language Models to enhance their domain-specific expertise. You'll implement cutting-edge semantic embedding techniques (e.g., binary, matryoshka, late interaction models) to optimize for speed and accuracy.

Build & Scale Recommender Systems: Architect and implement sophisticated recommender systems that personalize the user experience, driving engagement and content discovery.

Collaborate & Mentor: Work closely with product managers, software engineers, and data scientists to translate business needs into technical solutions.

Stay Ahead of the Curve: Actively research and evaluate emerging trends and academic research in ML, NLP, and Information Retrieval, prototyping new ideas to maintain our competitive edge.

What We're Looking For

We are seeking a seasoned expert with a passion for building intelligent systems and solving complex problems.

• A Master's or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.

• 3+ years of hands-on professional experience in building and deploying machine learning models in a production environment, with a significant focus on Information Retrieval, Search, or Recommender Systems.

• Strong programming skills in Python and familiarity with SQL or other query languages.

• Deep knowledge of ML frameworks like PyTorch or TensorFlow, and libraries like Scikit-learn and Hugging Face.

• Hands-on experience with vector databases.

• Analytical Mindset: Exceptional quantitative and problem-solving skills, with a proven ability to apply rigorous statistical and mathematical reasoning to complex, real-world challenges.

• Excellent verbal and written communication skills in English. You are a clear and precise communicator who excels in a collaborative, agile team environment.

Bonus Points:

• Experience in the financial domain.

• Experience with MLOps tools and cloud platforms.

What's in it for You?

• Growth Opportunity: Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and Marbella, building AI that truly matters for business and finance.
• Competitive Salary: In RavenPack, we believe that your time and experience needs to be fairly rewarded.
• Continuous learning: We provide the support needed to grow within the team.
• Innovation: Innovation is the key to our success, so we encourage you to speak up and tell us about your vision.
• Hybrid work arrangement: 3 days in the office, 2 days remote (post-onboarding).
• Shuttle bus (Málaga): From Malaga, Fuengirola, La Riviera, and Estepona is available for free from the company.
• Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.