Research Scientist Junior/Junior+

remote work; United States; Hybrid; USD 70,000 - 110,000; Full time

Benefits offered by this job

Relocation support to hubs (Serbia, GA

Flexible work from offices or remotely

Healthcare Coverage

Education Budget

Wellness Budget

Vacation policy

Job summary

We are seeking a Junior Research Scientist to work on foundation models for financial data. Several models are already in production on bureau, transactional and graph data; you will extend that line to new data domains and downstream tasks — credit risk, acquisition, anti-fraud, LTV forecasting.

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

Qualifications

• Strong foundation in ML/DL with hands-on PyTorch and LLM work.
• Experience with dataset design and data mixing for DL training.
• Ability to maximize compute utilization and run efficient experiments.
• Excellent communication and high autonomy.

Responsibilities

• Train self-supervised models on discrete sequences for business-relevant tasks.
• Stay updated with SOTA research and apply NLP/DL techniques to fintech models.
• Work with large multimodal datasets (tabular, behavioral, transactional, time series, graphs).
• Optimize compute usage for training and inference.
• Own solutions end-to-end from data collection to evaluation.
• Conduct rigorous evaluations and document findings.

Skills

Strong ML/DL fundamentals

Hands-on PyTorch & LLMs

Dataset design & data mixing

Efficient experimentation & compute

Strong communication

Autonomy & ownership

Education

Mathematics, Engineering, CS or AI (quantitative field)

Tools

Python

PyTorch

MLFlow

AWS

Snowflake

Claude Code

OpenAI Codex

Cursor

Job description

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