SEM TEMPO AGORA?
Avisamos-te de novas vagas como esta
Feedzai is seeking a Systems Research Engineer to join its Research team, which focuses on developing cutting-edge solutions for long-term, disruptive challenges in financial risk management. In this role, you will design and implement real-time Machine Learning inference systems capable of processing millions of events per second while maintaining low-latency and fault-tolerance guarantees. You'll define technical standards for cloud-native services, drive architectural decisions for ML systems workloads, and own services throughout their lifecycle following DevOps principles.
You will work hands-on across the full software development lifecycle, writing well-designed and testable code while leveraging GenAI-assisted development tools. This is an opportunity to combine research excellence with practical engineering, transforming state-of-the-art research into product requirements. You'll collaborate with Product and Data Science teams to build distributed systems supporting high-load operations 24/7, while also communicating findings through scientific papers, patents, and presentations to internal and external stakeholders.
Feedzai is a Series D company valued at $2 billion, protecting 1 billion consumers and 90 billion transactions annually. You'll be part of a team that anticipates and solves the company's long-term goals in secure, ethical technology development.
Responsabilidades
- Design and implement real-time Machine Learning inference systems processing millions of events per second with low-latency and fault tolerance guarantees
- Define technical standards and best practices for cloud-native services with focus on Data and ML Infrastructure
- Drive architectural decisions for Machine Learning systems workloads, balancing performance, cost, reliability, and user experience
- Execute the full software development life cycle and write well-designed, testable code
- Design and develop solutions while communicating findings to internal and external stakeholders
- Write scientific papers and patents documenting research outcomes
- Review and evaluate state-of-the-art research work on Data Processing, Machine Learning Systems, and Graphs
- Own services throughout their lifecycle following DevOps principles
- Leverage GenAI-assisted development tools to prototype, implement, and iterate on platform capabilities
Competências
VAGAS SEMELHANTES
3 outras vagas na Feedzai perto de ti
Benefícios
A Feedzai EM NÚMEROS
Trabalhar na Feedzai
700
colaboradores
★ 3.1
3 reviews
Tecnologia interessante em fraud detection e AI. Aprendizagem constante. Ambiente de startup com recursos de empresa maior. Fruta e café grá…
Posso preparar-te a entrevista para esta vaga em 5 minutos.
Candidatar-se a esta vaga
A sua candidatura é submetida no okemprego e processada pela InterviewHR.
Esta candidatura é submetida via InterviewHR, parceiro da okemprego. · Privacidade · Termos