Top 64 Equifax Jobs | SimplyHired

AI Research Engineer — Representation Learning
Equifax —Alpharetta, GA
- Full-time
- Hybrid work
- Office
- 3 years
- Analysis skills
- Health insurance
- Paid time off
Systems Analyst - Entry
Equifax —St. Louis, MO
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Health insurance
- Paid time off
Government Solutions Consultant - Federal
Equifax —Reston, VA
- Full-time
- Hybrid work
- 7 years
- Up to 50% travel
- Office
- Health insurance
- Paid time off
Vice President Advisory Relations
Equifax —Reston, VA
- Full-time
- Hybrid work
- Office
- Bachelor's degree
- Travel
- Health insurance
- Paid time off
Senior Executive Compensation Partner
Equifax —Atlanta, GA
- Full-time
- Office
- 8 years
- Analysis skills
- Health insurance
- Paid time off
Data Management Analyst
Equifax —St. Louis, MO
- Full-time
- Hybrid work
- Computer science
- Computer Science
- English
- Health insurance
- Paid time off
USIS D&A - Vice President, Data Acquisition and Partnerships
Equifax —Alpharetta, GA
- Full-time
- Bachelor's degree
- Continuous improvement
- Mentoring
- Health insurance
- Paid time off
Public Safety Account Executive
Equifax —Louisville, KY
- $86,000 - $105,000 a year
- Full-time
- Remote
- Google Workspace
- Up to 50% travel
- Bachelor of Science
- Health insurance
- Paid time off
VP Specialized Sales - Employer Services
Equifax —Atlanta, GA
- Full-time
- Remote
- Up to 50% travel
- Public speaking
- 11+ years
- Health insurance
- Paid time off
Software Engineer (Java Backend)
Equifax —Alpharetta, GA
- Full-time
- Azure
- 5 years
- System design
- Health insurance
- Paid time off
Government Solutions Consultant
Equifax —Tallahassee, FL
- Full-time
- Remote
- 7 years
- Up to 50% travel
- Bachelor's degree
- Health insurance
- Paid time off
Senior Process Analyst Engineer
Equifax —St. Louis, MO
- Full-time
- Hybrid work
- 3 years
- Bachelor's degree
- Mentoring
- Health insurance
- Paid time off
Change Management Specialist - Salesforce
Equifax —St. Louis, MO
- Full-time
- Hybrid work
- 7 years
- Office
- Bachelor's degree
- Health insurance
- Paid time off
VP, Product Operations
Equifax —Alpharetta, GA
- Full-time
- Office
- Bachelor's degree
- Product management
- Health insurance
- Paid time off
Senior Data Analyst, Finance
Equifax —St. Louis, MO
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Health insurance
- Paid time off
Solution Sales Executive - Identity and Fraud
Equifax —Boise, ID
- $102,110 - $140,000 a year
- Full-time
- 5 years
- Business development
- Bachelor's degree
- Health insurance
- Paid time off
AR Systems Manager
Equifax —Atlanta, GA
- Full-time
- Hybrid work
- Spanish
- Oracle
- 5 years
- Health insurance
- Paid time off
Sr. Product Manager, Consumer Engagement (Alerting)
Equifax —Alpharetta, GA
- Full-time
- 5 years
- Office
- Finance
- Health insurance
- Paid time off
12d
Generative AI Engineer
Equifax —Atlanta, GA
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Health insurance
- Paid time off
12d
Fraud Automation Analyst
Equifax —Alpharetta, GA
- Full-time
- Hybrid work
- Mid-level
- Office
- SQL
- Health insurance
- Paid time off
2d

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AI Research Engineer — Representation Learning

Equifax -
Alpharetta, GA

Apply Now

Job Details

Full-time

Benefits

Health insurance
Paid time off
401(k) matching

Qualifications

AI models
Statistics
Statistics
Software coding
Math
Linear algebra
Probability theory
Model training
Neural networks

Full Job Description

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

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Manage Preferences

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.

We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday–Thursday) , paired with Friday Flexibility to wrap up your week remotely. 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: Conduct ablations, hyperparameter sweeps, and controlled experiments to validate hypotheses on model behavior and training dynamics.
Develop Research Prototypes: Train, evaluate, and debug deep learning models using PyTorch/TensorFlow, creating high-fidelity prototypes that provide the conceptual and architectural blueprint for the engineering team.
Collaborate on Integration: Partner with our internal ML Engineering team to ensure your research prototypes are successfully integrated into production pipelines.
Drive Strategic Expansion: Work with senior technical leadership to extend our core models beyond interpretability into broader discriminative and generative modeling architectures.
Stay at the Vanguard: Maintain deep currency with modern deep learning techniques, including sequence-to-sequence, diffusion models, and generative approaches.

What experience you need

Education & Experience: A PhD in ML/AI/CS/EE or a related quantitative field with 3+ years of relevant experience; OR an MS with 5+ years of relevant industry/research experience.
Deep Learning Foundations: Strong, demonstrated foundation in Transformer architectures, attention mechanisms, and sequence modeling.
Mathematical Maturity: A deep, working knowledge of linear algebra, statistics, and probability—the foundational mathematics required to characterize model behavior, evaluate representation similarity (e.g., Kernel CCA), and derive insights from internal model activations.
Representation Learning: Experience analyzing and working with learned representations (latent spaces, embedding analysis, internal model states).
Training Intuition: Strong technical intuition for deep learning training dynamics—specifically regarding stability, gradient behavior, and learning rate schedules.
Programming Rigor: Ability to write clean, well-structured, and efficient Python code.
Soft Skills: Demonstrated curiosity, technical ambition, and a desire to grow your research career under senior technical leadership.

What could set you apart

Advanced Modeling: Experience with sequence-to-sequence models, diffusion models, or other generative modeling techniques.
Deep Analysis: Experience analyzing or interpreting learned representations through techniques such as probing, attribution, or embedding visualization.
Data Complexity: Experience with irregular time-series, missingness handling, or temporal embedding techniques.
Mechanistic Interpretability: Familiarity with mechanistic interpretability concepts, such as sparse autoencoders, feature dictionaries, activation analysis, or attention-pattern interpretation.

#LI-AM2

#LI-Hybrid

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Who is Equifax?

At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.

We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.

Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Apply Now

Refine Your Search

equifax jobs

AI Research Engineer — Representation Learning

Systems Analyst - Entry

Government Solutions Consultant - Federal

Vice President Advisory Relations

Senior Executive Compensation Partner

Data Management Analyst

USIS D&A - Vice President, Data Acquisition and Partnerships

Public Safety Account Executive

VP Specialized Sales - Employer Services

Software Engineer (Java Backend)

Government Solutions Consultant

Senior Process Analyst Engineer

Change Management Specialist - Salesforce

VP, Product Operations

Senior Data Analyst, Finance

Solution Sales Executive - Identity and Fraud

AR Systems Manager

Sr. Product Manager, Consumer Engagement (Alerting)

Generative AI Engineer

Fraud Automation Analyst

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