Equifax
AI Research Engineer — Representation Learning
USA - Georgia - Alpharetta - 30005 · Full-time
No sponsorshipDetected 28 days ago
PythonMachine LearningDeep LearningTensorFlowPyTorchNLPStatisticsA/B TestingResearchLeadership
About the role
- Equifax is where you can power your possible.
- 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.
Responsibilities
- 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.
- Execute Rigorous Experimentation: Conduct ablations, hyperparameter sweeps, and controlled experiments to validate hypotheses on model behavior and training dynamics.
- 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.
- Build and experiment with transformer-based models specifically for structured and credit time-series data, pushing the boundaries of model performance and capability.
Requirements
- Ability to write clean, well-structured, and efficient Python code.
- Experience with sequence-to-sequence models, diffusion models, or other generative modeling techniques.
- Experience with irregular time-series, missingness handling, or temporal embedding techniques.
Skills
- Demonstrated curiosity, technical ambition, and a desire to grow your research career under senior technical leadership.
- Advanced Modeling: Experience with sequence-to-sequence models, diffusion models, or other generative modeling techniques.
- Data Complexity: Experience with irregular time-series, missingness handling, or temporal embedding techniques.
- Primary Location:
- USA-Atlanta JV White
- USA-Atlanta-One-Atlantic-Center
- Function - Data and Analytics
Compensation
- 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.
Benefits
- 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.
- 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.
- Stay at the Vanguard: Maintain deep currency with modern deep learning techniques, including sequence-to-sequence, diffusion models, and generative approaches.
- Education & Experience: A PhD in ML/AI/CS/EE or a related quantitative field with 3+ years of relevant experience
- Deep Learning Foundations: Strong, demonstrated foundation in Transformer architectures, attention mechanisms, and sequence modeling.
- 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.
Company info
- What could set you apart
- Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Visa & Work Authorization
- This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
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This listing is sourced directly from Equifax's careers page and normalized into a canonical job model.