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 or Mexico — 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: Annual leave and paid sick leave as per applicable policies

Research Scientist Junior/Junior+

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