Research Scientist Junior/Junior+

• 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

• 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

• Relocation support to one of our hubs - Serbia, Georgia or Mexico - with assistance for the employee and their family
• 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

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.

This is a great opportunity for someone at the beginning of their career and who wants to work on large-scale, technically challenging projects.

• 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

• Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5

We work with Python, PyTorch, MLFlow, AWS, Snowflake and modern AI coding tools such as Claude Code, OpenAI Codex and Cursor.