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Deep Learning Jobs in Atlanta, GA (NOW HIRING)

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Duluth, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Roswell, GA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

In this role, you will be responsible for designing, developing, and implementing innovative Deep Learning models, driving innovation, and providing technical leadership to a team of data scientists.

The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Showing results 1-20

Deep Learning information

See Atlanta, GA salary details

$10.6K

$80.7K

$134.6K

How much do deep learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for deep learning in Atlanta, GA is $80,668.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $133,700.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Deep learning professionals, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their specialized skills in developing, managing, and overseeing AI systems. These roles require critical thinking, domain expertise, and ongoing learning to adapt to evolving technologies. Skills in programming, machine learning frameworks, and ethical considerations will remain valuable in the AI-driven job market.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming, neural networks, and frameworks like TensorFlow or PyTorch, and are common in technology, healthcare, automotive, and finance industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in top tech companies or specialized AI firms.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What jobs pay $500,000 a year in the US?

In the field of deep learning, senior roles such as AI research directors, machine learning executives, and lead data scientists at large tech companies can earn $500,000 or more annually, especially with bonuses and stock options. These positions typically require extensive experience, advanced degrees, and expertise in neural networks, programming, and large-scale data processing.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the key skills and qualifications needed to thrive in the Deep Learning position, and why are they important?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

Infographic showing various Deep Learning job openings in Atlanta, GA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $80,668 per year, or $38.8 per hour.
AI Research Engineer - Representation Learning

AI Research Engineer - Representation Learning

Equifax, Inc.

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 3 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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