<p>We are looking for a <strong>Junior Research Scientist</strong> 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.</p> <p> </p> <p>We work with Python, PyTorch, MLFlow, AWS, Snowflake and modern AI coding tools such as Claude Code, OpenAI Codex and Cursor.</p> <p> </p> <p>This is a great opportunity for someone at the <strong>beginning of their career</strong> and who wants to work on large-scale, technically challenging projects. </p> <p> </p> <p><strong>Challenges that await you:</strong></p> <ul> <li>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</li> <li>Stay on top of SOTA research, applying the latest NLP and DL techniques to fintech models</li> <li>Work with large multimodal datasets: tabular, behavioral, transactional, device and network, text, time series, graphs</li> <li>Optimize the utilization of compute resources for both training and inference</li> <li>Own and develop solutions end-to-end, from idea to data collection to experiments to training runs to inference optimization to evaluating impact</li> <li>Perform rigorous evaluations</li> <li>Write articles and speak at industry conferences</li> </ul> <p><strong>What makes you a great fit:</strong></p> <ul> <li>Education: mathematics, engineering, computer science, artificial intelligence or another strong quantitative field</li> <li>Strong foundation in machine learning and deep learning, with hands-on experience building and experimenting with models using PyTorch and LLMs</li> <li>Understanding of dataset design and data mixing for deep learning training</li> <li>Demonstrated understanding of how to maximize the utilization of compute resources and efficiently perform experiments to validate research ideas</li> <li>Solid communication skills</li> <li>High autonomy and ownership</li> </ul> <p><strong>Your bonus skills:</strong></p> <ul> <li>Published research in machine learning or deep learning</li> <li>Personal projects or startup experience in AI, machine learning or deep learning</li> <li>Internship experience in research, ML or DL teams</li> <li>B1 or higher English level for effective communication with an international team</li> </ul> <p><strong>Our ways of working:</strong></p> <ul> <li><strong>Innovative Spirit: </strong>A commitment to creativity and groundbreaking solutions</li> <li><strong>Honest Feedback:</strong> valuing open, transparent communication</li> <li><strong>Supportive Team: </strong>a strong, collaborative community</li> <li><strong>Celebrating Achievements: </strong>recognizing our wins together</li> <li><strong>High-Tech Environment:</strong> a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances </li> </ul> <p><strong>Our benefits:</strong></p> <ul> <li><strong>Relocation support</strong> to one of our hubs — Serbia, Georgia or Mexico — with assistance for the employee and their family</li> <li><strong>Flexible work </strong>from one of our offices or remotely within time zones from GMT-2 to GMT+5</li> <li style="font-weight: bold;"><strong>Healthcare Coverage</strong></li> <li><strong>Education Budget:</strong> Language lessons, professional training and certifications</li> <li><strong>Wellness Budget:</strong> Mental health and fitness activity reimbursements</li> <li><strong>Vacation Policy:</strong> Annual leave and paid sick leave as per applicable policies</li> </ul>