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At our company, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven solutions help banks and fintech companies worldwide detect and stop serious financial crime, from human trafficking and terrorist financing to sophisticated money laundering, while advanced technology, automation, and AI-driven tools help our teams collaborate smarter, move faster, and continuously improve how we build, deliver, and innovate.
About the role: We are looking for an Algorithm Researcher to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.
If you combine strong mathematical and research capabilities with advanced AI expertise, and if you are motivated by turning complex theoretical concepts into scalable, production-ready algorithms that solve real-world financial crime challenges, we could be your next challenge.

?Responsibilities:
* Designing and developing advanced algorithms for complex financial crime detection challenges
* Translating mathematical models and research concepts into scalable production systems
* Building and optimizing ML and LLM-based solutions for real-world deployment
* Working with transformers, attention mechanisms, sequence modeling, and representation learning
* Developing solutions using RAG, embedding models, vector databases, and generative AI evaluation frameworks
* Designing AI agents, tool-using LLM architectures, and autonomous decision-making pipelines
* Improving model accuracy, robustness, explainability, and inference efficiency
* Collaborating with engineers, data scientists, and domain experts to bring research into production

Ready to shape the future of cloud computing - one hire at a time? Join םור Talent Acquisition team as a Full Lifecycle Recruiter and become the bridge between world-class talent and career-defining opportunities. You'll own the complete recruitment journey - from discovering and engaging candidates to closing offers - while driving hiring effectiveness across multiple teams and creating meaningful experiences that reflect our commitment to inclusion and excellence.

Key job responsibilities
Build high-quality, diverse talent pipelines that fuel AWS's growth by sourcing and engaging candidates using internal and external tools, multiple sourcing and closing methodologies, and diverse channels - including events, conferences, online communities, employee referrals, and career portals - across multiple teams and roles.
Apply data and domain expertise to accurately identify, engage, and assess candidates at various levels for complex, multi-team requisitions where sourcing and closing strategies are partially defined, delivering single and/or cross-region impact.
Drive positive candidate experiences by developing effective relationships with client teams and candidates to build prospective networks, influencing client teams to follow recruiting best practices such as writing effective job descriptions, messaging, and clear value propositions.
Elevate hiring effectiveness across supported teams by educating and coaching hiring managers on sourcing methodologies and closing strategies, and supporting interviewers on recruiting and interviewing best practices to improve metrics.
Own recruiting projects in partnership with client teams that improve hiring effectiveness and related metrics, including pipeline activity, conversion rates, candidate experience, and candidate cycle time.