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Research Assistant Deep Learning Jobs in Georgia

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

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Research Assistant Deep Learning information

What is the difference between Research Assistant Deep Learning vs Research Assistant Machine Learning?

AspectResearch Assistant Deep LearningResearch Assistant Machine Learning
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of neural networksBachelor's or Master's in Computer Science, Data Science, or related fields; foundational ML knowledge
Work EnvironmentResearch labs, universities, tech companies focusing on AI and neural networksResearch labs, universities, tech companies working on various ML algorithms
Employer & Industry UsageAI research, deep learning projects, neural network developmentGeneral machine learning applications, data analysis, predictive modeling

Research Assistant Deep Learning specializes in neural networks and AI-focused projects, while Research Assistant Machine Learning covers a broader range of algorithms and data analysis tasks. Both roles require similar educational backgrounds but differ in technical focus and application areas.

What is a research assistant deep learning?

Research Assistant Deep Learning jobs involve supporting research projects focused on artificial intelligence, specifically within the field of deep learning. These roles typically require assisting with data collection, preprocessing, running machine learning experiments, and analyzing results. Research assistants may also help with literature reviews, code development, and documentation. The position is often found in academic, industry, or research lab settings, and usually requires a solid foundation in programming, mathematics, and neural network concepts.

What are the key skills and qualifications needed to thrive as a research assistant deep learning?

To thrive as a Research Assistant in Deep Learning, you need a strong background in machine learning, programming (especially Python), and a relevant degree in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, as well as experience with data preprocessing and GPU computing, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are essential for efficiently developing, testing, and improving advanced machine learning models in a fast-evolving field.

What does a research assistant deep learning do?

As a Research Assistant in Deep Learning, you can expect to work closely with research scientists and engineers to design, implement, and evaluate novel deep learning models. Typical daily tasks include data preprocessing, running experiments, analyzing results, and contributing to academic papers or presentations. You may also assist in developing codebases, conducting literature reviews, and collaborating with team members to solve technical challenges. The work environment is often collaborative and fast-paced, with opportunities to learn from experts and contribute to cutting-edge research projects.
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What job categories do people searching Research Assistant Deep Learning jobs in Georgia look for? The top searched job categories for Research Assistant Deep Learning jobs in Georgia are:
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Research Assistant Deep Learning jobs near you

AI Research Engineer - Representation Learning

Equifax, Inc.

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 14 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

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: 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!
Primary Location:
USA-Atlanta JV White
USA-Atlanta-One-Atlantic-Center
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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