Research Scientist Junior/Junior+

• 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

• 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

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

• 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