TL;DR
Senior Applied Scientist (AI, NLP): Developing and implementing novel algorithms, agentic systems, and modeling techniques to advance state-of-the-art AI, LLMs, and NLP for Amazon Books. Focus on creating an unmatched book discovery experience by building intelligent interactions and sophisticated recommendations at scale.
Location: Must be based in Spain (Amazon Spain Services, S.L.U.)
Company
hirify.global is a technology company focused on inspiring readers by making book discovery easy and engaging through advanced AI, NLP, and machine learning solutions.
What you will do
- Design and implement scalable and reliable pipelines for ensuring knowledge base accuracy in books metadata.
- Set the scientific roadmap to sustain state-of-the-art quality and efficiency, adopting appropriate long-term solutions.
- Drive scalable solutions from understanding customer needs to prototyping, production testing, and engineering into production.
- Run and supervise experiments, including designing, data collection, model training, and prompt optimization.
- Drive decisions by interpreting and communicating experimental results with managers, subject matter experts, scientists, and engineers.
- Contribute to strategic thinking, reviewing results, and identifying necessary step-changes for the wider science team.
Requirements
- PhD, or a Master's degree and experience in Computer Science, Computer Engineering, Machine Learning, or a related field.
- Experience programming in Java, C++, or Python.
- Experience in building models for business applications.
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions.
- Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams.
- Experience owning end-to-end programs to drive results.
Nice to have
- PhD.
- Publications at top-tier peer-reviewed conferences or journals.
- Experience in professional software development.
- Experience building complex software systems successfully delivered to customers.
- Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
- Experience with Generative AI, LLM-as-judge, Knowledge Graphs, prompt optimization, agentic workflows, or LLM interpretability.
Culture & Benefits
- Work in a fast-paced environment with a smart and passionate team, solving deep technical problems.
- Collaborative group of scientists, product leaders, and dedicated engineering teams.
- Inclusive culture empowering Amazonians to deliver the best results for customers.
- Support for workplace accommodation or adjustment during the application and hiring process for disabilities.
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