Description
Adyen is building a top-tier AI engineering team in San Francisco to drive innovation using AI globally. As a Member of Technical Staff, you will operate with a high degree of autonomy and responsibility, delivering strategic, high-impact outcomes that bridge the gap between advanced AI research and production-grade applications at a global scale.
Responsibilities
- Innovate and Deploy: Drive the execution of Adyen's AI strategy, focusing on the practical application of Generative AI (GenAI) and other AI methodologies in finance.
- Build Production-grade Applications: Bridge the gap between cutting-edge AI research and production by implementing research papers into robust, scalable, and production-ready code.
- Optimize and Scale: Contribute to defining the long-term vision for AI at Adyen, specifically how AI will interact with humans and finance.
- Think Outside the Box: Drive innovation by challenging the status quo, introducing transformative ideas and implementing creative solutions to solve real-world problems.
- Force Multiplier: Provide mentorship and horizontal sponsorship across the organization, fostering collaboration to share knowledge and best practices.
- Team Player: Actively pair with other engineering teams to solve deep-rooted technical challenges.
- Learn and Lead: Connect with the broader AI community to stay informed of the latest advancements and identify potential partnership opportunities.
Requirements
- Strong understanding of the latest SOTA advancements in AI research.
- Significant experience with Generative AI (GenAI) and Large Language Models (LLMs).
- Strong engineering mindset with a track record of writing clean, efficient, and scalable code.
- Demonstrated experience taking cutting-edge AI research papers and implementing them into production-quality code.
- Ability to think critically and deliver simple and elegant solutions to complex problems.
- Excellent communication skills, with the ability to translate complex technical concepts into clear, understandable terms.
Nice to Haves
- Strong product sense and the ability to identify impactful AI use cases.
- Experience in AI-enabled fintech companies.
- Familiarity with classical machine learning or concepts.
- Experience with external visibility activities such as conferences and publications.
- Experience working with on-premise infrastructure.
Benefits
- Annual base salary range: $227,500 - $401,000, plus RSUs.
- Opportunity to join a solid, established company with a startup mindset.
- Direct access to massive global datasets and the ability to see your team's work have an immediate impact at scale.
- Environment of ownership and speed, where a focused research team can make a significant difference.