Senior Search Engineer - ML
Senior Search Engineer - ML
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Job Description
About us
RavenPack is the leading big data analytics provider for financial services. Financial professionals and organizations rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. Our products help clients enhance their decision-making by quantifying the impact of media sentiment and attention.
Our clients include the worlds most successful hedge funds banks and government agencies. As we continue to grow were looking for passionate technically skilled professionals to join our Search Team.
Join RavenPack:
At RavenPack we are scaling new heights with our search technologies. We have a strong foundation and a talented team dedicated to solving complex challenges in information retrieval for the worlds top financial professionals. Our mission is to architect and build the most sophisticated scalable and intelligent search engine in the market powering .
To accelerate our innovation and redefine the standards of excellence in our industry we are looking for a Senior Search Engineer to join our Search Team. This is a strategic role where you will act as a force multiplier bringing specialized expertise in search systems to enhance our teams capabilities. We are looking for a hands-on engineer who is passionate about building production systems and thrives on optimizing every layer of the search stackfrom low-level infrastructure to advanced ML-driven relevance.
If you are driven to build world-class systems and are excited by the opportunity to elevate a strong platform to its full potential this is your chance to make a definitive impact.
European legal working status is required.
What Youll Be Doing
- Own the Search Infrastructure: Architect and develop our next-generation search infrastructure. Become a to-go expert for all things search-related.
- Build for Speed & Scale: Design build and maintain high-throughput low-latency APIs for search retrieval and query processing. Your work will directly impact the performance and reliability of our products.
- Productionize ML for search: In close partnership with our ML engineers and data scientists implement and productionize state-of-the-art query understanding and ranking models. Optimize pipelines for generating and serving semantic embeddings at scale leveraging vector search and modern language models.
- Drive Engineering & Experimentation Velocity: Establish best practices for search development and testing. Build tools and processes that empower the team to experiment and innovate rapidly and safely.
- Performance Tuning & Optimization: Profile and optimize every component of the search stack from indexing and query processing to model inference ensuring maximum efficiency and cost-effectiveness.
- Collaborate and Mentor: Work closely with product managers engineers and data scientists to translate business needs into technical reality. Mentor team members elevating their understanding of search systems and engineering best practices.
- Stay Ahead of the Curve: Actively evaluate emerging trends in ML NLP and Information Retrieval prototyping new ideas to maintain our competitive edge.
What Were Looking For
5 years of hands-on professional experience building and scaling production systems with a deep focus on information retrieval.
Deep practical experience with modern search technologies. Hands-on experience working with and scaling vector databases (Vespa is preferred).
Strong programming skills in Python. Practical experience with Java is a strong plus.
Solid understanding of machine learning concepts applied to search (learning-to-rank embeddings language model quantization).
Experience in environments where search quality is measured through offline evaluation human-in-the-loop systems or content-based heuristics.
Exceptional quantitative and analytical skills. You can break down complex ambiguous problems into concrete actionable steps.
Clear concise and effective communication skills in English. You can articulate complex technical ideas to both technical and non-technical audiences.
Bonus Points:
Direct in-depth experience building and operating systems on Vespa.
Experience in the financial data domain.
Experience with MLOps tools and CI/CD pipelines in a cloud environment.
Whats in it for you
- Growth Opportunity: Join a team building AI that truly matters contributing to making Gen-AI useful for finance and business research in a rapidly growing company with 180 team members across offices in Marbella Madrid and New York.
- 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: We offer a highly competitive salary package and performance-based bonuses.
- Relocation Assistance: Comprehensive relocation support is available to help you and your family move to the beautiful Costa del Sol.
- Work-Life Balance: Enjoy paid vacation flexible time-off and a flexible work policy.
- Continuous learning: We provide the support needed to grow within the team.
Employment Type
Full Time
