Junior Foundation Models Research Scientist — Finance & Fraud

Plata; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Plata is seeking a Junior Research Scientist to advance foundation models for financial data, focusing on credit risk and anti‑fraud applications. The role suits early‑career professionals with a strong base in machine learning and deep learning.

You will train self‑supervised models, optimize compute for training and inference, and work with large multimodal datasets using cutting‑edge NLP techniques. Autonomy and business impact are emphasized.

Qualifications

• Strong foundation in machine learning and deep learning.
• Experience with NLP and deep learning techniques.
• Familiarity with self-supervised learning.
• Experience handling large multimodal datasets.
• Ability to communicate research findings.

Responsibilities

• Train self-supervised models and optimize compute for training and inference.
• Handle large multimodal datasets using state‑of‑the‑art NLP and DL methods.
• Develop and evaluate foundation models for financial data (credit risk, anti‑fraud).
• Own projects from conception through to evaluation with high autonomy.

Skills

Machine learning

Deep learning

NLP

Self-supervised learning

Multimodal data handling

Compute optimization

Research communication

Job description

Plata is seeking a Junior Research Scientist to advance foundation models for financial data, focusing on credit risk and anti‑fraud applications. The role suits early‑career professionals with a strong base in machine learning and deep learning.

You will train self‑supervised models, optimize compute for training and inference, and work with large multimodal datasets using cutting‑edge NLP techniques. Autonomy and business impact are emphasized.