Ir al contenido

Inicio
ETSIINF en Twitter ETSIINF en Facebook
Inicio > Tablón de anuncios

Becas remuneradas para Invesitgación en Inteligencia Artificial en Feedzai

Buscamos estudiantes o recién egresados con interés en encontrar su primer trabajo en Inteligencia Artificial - Inglés imprescindible

Anuncio. Enviado por Javier Liébana (Feedzai) válido desde 25/05/2022 hasta 27/05/2022 (caducado)

Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date.  With a valuation of +$1.5B, the company's technology protects 900 million people in 190 countries. 

In the summer of 2022, we will have several full time paid summer internships available for students living in Portugal and Spain, for our Research and Engineering teams.

We are opening a few vacancies in Research if you are interested in learning about AI and applied research. There are also many other great internships, including DataViz and Product and Engineering roles.

We are pretty open regarding backgrounds and experience: apply if you are curious, eager to learn, and excited to collaborate on defining and tackling real-world, impactful research problems.

Expect to have a fun summer and learn and collaborate a lot!

In the past, Summer Internships led to multiple theses, publications in reputable venues, product features, and full-time roles at Feedzai.

Examples of projects starting out as Summer Internships:
- Active learning for imbalanced data under cold start (https://lnkd.in/edSu9HAX)
- Finding NeMo: Fishing in banking networks using network motifs
(https://lnkd.in/emDA7deV)
- TEDD: Robust Detection of Unstable Temporal Features (https://lnkd.in/eA5ueUmP)

How to apply:
1. Apply here: https://lnkd.in/eqaJvCrq
2. You will receive a Form to submit your internship preference. If you want AI Research, then select "Research - Machine Learning Research".
3. We will get back to you as soon as possible.