Research Scientist Junior/Junior+

Plata Card

Worldwide Posted 2w ago
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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: 20 days of annual leave and paid sick leave

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