AI Research Engineer

Join Plata as an AI Research Engineer to develop cutting-edge deep learning models for fintech applications, focusing on credit risk, anti-fraud, and LTV forecasting. We are looking for an Applied Research Engineer for the Risks Team to create state of the art foundational deep learning models for fintech.

• •Train self-supervised models on discrete sequences to beat the SOTA and achieve business impact in downstream tasks across PLATA, such as: credit risk, transaction anti-fraud and LTV forecasting.
• •Stay on top of SotA research, applying the latest NLP and DL techniques to fintech models.
• •Work with large multimodal datasets: tabular, behavioral, transactional, device and network, text, time series, graphs.
• •Optimize the utilization of compute resources for both training and inference.
• •Own and develop solutions end-to-end, from idea to data collection to experiments to training runs to inference optimization to evaluating impact.
• •Perform rigorous evaluations.
• •Write articles and speak at industry conferences.

• •Relocation support to one of our hubs — Cyprus, Serbia, Spain, Georgia or Kazakhstan — with assistance for the employee and their family.
• •Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5.
• •Healthcare Coverage.
• •Education Budget: Language lessons, professional training and certifications.
• •Wellness Budget: Mental health and fitness activity reimbursements.
• •Vacation policy: 20 days of annual leave and paid sick leave.

• •PhD, publications and other previous research experience.
• •Experience training 1b+ transformer models.
• •Experience with transformer-based architectures for non-natural language event sequences: CoLES, BERT4Rec, SASRec.
• •Experience training self-supervised, embedding and ranking DL models.
• •Experience in fintech and banking.