Research Scientist Junior Junior+

We are looking for a Junior Research Scientist to work on foundation models for financial data. Several of them already run in production on bureau, transactional and graph data; your work is to extend that line to new data domains and new downstream tasks — credit risk, acquisition, anti-fraud, LTV forecasting. We work with Python, PyTorch, MLFlow, AWS, Snowflake and modern AI coding tools such as Claude Code, OpenAI Codex and Cursor. This is a great opportunity for someone at the beginning of their career and who wants to work on large-scale, technically challenging projects. Challenges that await you: • 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 What makes you a great fit: • Education: mathematics, engineering, computer science, artificial intelligence or another strong quantitative field • Strong foundation in machine learning and deep learning, with hands-on experience building and experimenting with models using PyTorch and LLMs • Understanding of dataset design and data mixing for deep learning training • Demonstrated understanding of how to maximize the utilization of compute resources and efficiently perform experiments to validate research ideas • Solid communication skills • High autonomy and ownership Your bonus skills: • Published research in machine learning or deep learning • Personal projects or startup experience in AI, machine learning or deep learning • Internship experience in research, ML or DL teams • B1 or higher English level for effective communication with an international team Our ways of working: • 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 Our benefits: • Relocation support to one of our hubs — Serbia, Georgia, Mexico or Colombia — 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