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Deep Learning Jobs in Atlanta, GA (NOW HIRING)

Varsity Tutors

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 ...

Varsity Tutors

Machine Learning Tutor

Sandy Springs, 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 ...

Varsity Tutors

Machine Learning Tutor

Johns Creek, 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 ...

Varsity Tutors

Machine Learning Tutor

Woodstock, 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 ...

Varsity Tutors

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 ...

Varsity Tutors

Machine Learning Tutor

Marietta, 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 ...

Varsity Tutors

Machine Learning Tutor

Lawrenceville, 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 ...

Varsity Tutors

Machine Learning Tutor

Atlanta, 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 ...

Varsity Tutors

Machine Learning Tutor

Alpharetta, 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 ...

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

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.

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

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 ...

Bespoke Labs

Machine Learning Engineer

Kennesaw, GA · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Atlanta, GA · On-site

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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All JobsDeep Learning JobsDeep Learning Jobs in Atlanta, GA

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 Jun 27, 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.

What jobs use deep learning?

Jobs that use deep learning include roles such as deep learning engineer, machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of neural networks and data analysis.

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, impact, and industry demand.

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 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 engineers make $500,000?

Senior deep learning engineers with extensive experience, advanced skills in neural networks, and expertise in frameworks like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

What job makes $10,000 a month without a degree?

In the field of deep learning, roles such as freelance AI consultant or specialized machine learning engineer can potentially earn $10,000 or more per month through project-based work or high-demand expertise. Success typically requires strong skills in programming, neural networks, and experience with tools like TensorFlow or PyTorch, often gained through self-study or online courses rather than formal degrees.

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.

What are popular job titles related to Deep Learning jobs in Atlanta, GA? For Deep Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Deep Learning jobs in Atlanta, GA look for? The top searched job categories for Deep Learning jobs in Atlanta, GA are:
Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Atlanta, GA as of June 2026, with employment types broken down into 1% Internship, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $80,668 per year, or $38.8 per hour.
Machine Learning Research Engineer (Scientific & Engineering AI)

Machine Learning Research Engineer (Scientific & Engineering AI)

Optimal Inc.

Embry Hills, GA

Full-time

Posted 15 days ago

Job description

Machine Learning Research Engineer (Scientific & Engineering AI)
Urgent Hiring Requirement

Minimum Qualification: PhD in a relevant technical field.

This is an urgent requirement with an anticipated start date within 2 weeks. Priority will be given to candidates who can interview promptly and begin within two weeks of selection.

Job Summary

We are seeking a highly motivated Machine Learning Research Engineer (Scientific & Engineering AI) with strong expertise in Machine Learning, Deep Learning, Computer Vision, and AI research. This role is intended exclusively for PhD graduates or candidates near completion from reputable universities.

Candidates with a strong academic research background in Machine Learning, Artificial Intelligence, Computer Vision, Data Science, Scientific Computing, Mechanical Engineering, Materials Science, Manufacturing Engineering, Applied Physics, Computational Engineering, or related fields are encouraged to apply.

Ideal candidates will combine strong ML/DL expertise with domain knowledge in mechanical engineering, materials science, manufacturing systems, physical systems, scientific computing, or simulation-driven engineering applications.

Research experience gained during a PhD program will be considered equivalent to professional industry experience.

This is an urgent hiring requirement, and we are actively seeking candidates who can start within the next 2 weeks.

Education Requirement
PhD in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, Data Science, Mechanical Engineering, Materials Science, Manufacturing Engineering, Applied Physics, Computational Engineering, or a related technical field.
Candidates currently pursuing a PhD with anticipated graduation within the next 3-6 months are also encouraged to apply.
Only PhD candidates will be considered for this role.
Candidates with only a Master's degree will not be considered.
Key Responsibilities
Design, develop, train, and optimize Machine Learning and Deep Learning models for real-world applications.
Own the complete ML lifecycle including data collection, annotation, preprocessing, model training, fine-tuning, evaluation, optimization, and deployment.
Develop and deploy advanced deep learning architectures including CNNs, LSTMs, ConvLSTMs, Graph Neural Networks (GNNs), Reinforcement Learning, and Transformer-based models.
Conduct experiments, evaluate model performance, and drive continuous algorithmic improvements.
Work with large-scale datasets for model training, validation, and testing.
Optimize and deploy AI models for scalable and efficient real-world applications.
Translate research concepts into scalable, production-ready AI systems.
Collaborate with cross-functional engineering and research teams to integrate ML models into real-world applications.
Document methodologies, experimental findings, and technical solutions.
Contribute to technical innovation initiatives and advanced AI research activities.


Required Qualifications
Strong PhD research background in Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision, Data Science, Scientific Machine Learning, Computational Engineering, Applied Physics, Materials Informatics, or related areas.
Strong programming experience with Python and C++.
Hands-on experience with PyTorch, TensorFlow, Keras, Scikit-learn, or similar ML frameworks.
Strong understanding of Machine Learning, Deep Learning, Neural Networks, Computer Vision, and AI algorithms.
Experience developing and training advanced deep learning models and architectures.
Solid mathematical foundation in linear algebra, probability, statistics, optimization, and applied machine learning.
Experience working with Linux environments, Git, Docker, and modern development workflows.
Demonstrated research experience through publications, thesis work, academic research projects, or equivalent research contributions.
Strong ability to independently research, prototype, and deploy AI solutions.
Experience applying machine learning or deep learning techniques to engineering, manufacturing, materials science, physical systems, scientific computing, simulation, or industrial applications is highly desirable.


Preferred Qualifications
Publications in leading AI, Machine Learning, Computer Science, Scientific Computing, Computational Engineering, Materials Science, or Applied Physics conferences and journals.
Experience transitioning AI/ML models from research environments into production systems.
Experience with CUDA, GPU acceleration, distributed computing, high-performance computing (HPC), or parallel computing environments.
Experience handling large-scale, real-world datasets.
Familiarity with Physics-Informed Machine Learning (PIML), Physics-Informed Neural Networks (PINNs), scientific foundation models, digital twins, simulation-driven AI, or engineering optimization techniques.
Experience working with data generated from CAD, CAE, CFD, FEA, multiphysics simulations, manufacturing processes, materials characterization, laboratory testing, or other engineering and scientific workflows.


Technical Skills
Python, C++
PyTorch, TensorFlow, Keras, Scikit-learn
Machine Learning and Deep Learning
Computer Vision
Reinforcement Learning
Graph Neural Networks (GNNs)
Transformer Architectures
Linux, Git, Docker
CUDA and GPU Computing
Scientific Computing and Optimization
Physics-Informed Machine Learning (Preferred)
Engineering and Scientific Data Analysis (Preferred)

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