AI Research Engineer

Plata; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Plata is seeking an AI Research Engineer to develop advanced deep learning models for fintech, focusing on credit risk and anti-fraud applications. You will work on building state-of-the-art foundational models for the Risks Team, shaping AI solutions that directly impact risk assessment and fraud prevention.

You will handle large multimodal datasets and own the full model lifecycle—from data collection and experimentation to training and inference optimization—while staying current with NLP and

Qualifications

• Strong machine learning background.
• Comfortable working with large datasets.
• Experience applying ML to fintech is a plus.

Responsibilities

• Develop foundational deep learning models tailored for fintech applications.
• Manage the full model lifecycle from data collection to training and inference optimization.
• Stay updated with the latest NLP and deep learning research to drive business outcomes.

Skills

Machine learning

Deep learning

NLP

Multimodal data

Job description

Plata seeks an AI Research Engineer to develop advanced deep learning models for fintech, focusing on areas like credit risk and anti-fraud. Candidates should have a strong machine learning background and be comfortable with large datasets.

In this role, you will be part of the Risks Team, tasked with creating state-of-the-art foundational deep learning models tailored for fintech applications. Your work will directly impact critical areas such as credit risk assessment, transaction fraud prevention, and lifetime value forecasting.

You will engage with large multimodal datasets and be responsible for the entire model lifecycle, from data collection and experimentation to training and inference optimization. Staying updated with the latest research in NLP and deep learning will be essential for achieving business objectives.