Дополнительно
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, acquisition 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
Innovative Spirit: A commitment to creativity and groundbreaking solutions
Honest Feedback: valuing open, transparent communication
Supportive Team: a strong, collaborative community
Celebrating Achievements: recognizing our wins together
High-Tech Environment: a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances