AI Research Engineer — Representation Learning

• Alpharetta / Atlanta
• United States of America
• Data & Analytics
• Full time
• 6/24/2026
• J00177781

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Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

We are seeking an AI Research Engineer to develop Transformer-based models for structured and time-series credit risk data, with a strong focus on representation learning and interpretable AI attributes.

Your mission is to help build the foundation for a long-horizon initiative that begins with interpretable feature learning and expands into discriminative and generative modeling. This role is ideal for a scientist who is strong in deep learning fundamentals, curious about how models learn internal representations, and excited to work on the next generation of transformer applications for structured data under senior technical mentorship.

Equifax has a hybrid work schedule that allows for two days of remote work (Monday and Friday) with 3 days onsite (Tuesday thru Thursday) every week.

This role reports to our office Alpharetta, GA or our Midtown (OAC, Atlanta) office.

*This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.*

This is a direct-hire role and is not open to C2C or vendors.

What you will do

• Advance Experimental Research: Build and experiment with transformer-based models specifically for structured and credit time-series data, pushing the boundaries of model performance and capability.
• Analyze Internal Representations: Investigate and interpret learned representations (embeddings, latent spaces, attention patterns) to uncover how the model encodes complex financial concepts.
• Execute Rigorous Experimentation: Cond...