Lead Data Scientist
$160K - $270K/yr
Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement ...
New
Lead Data Scientist
$160K - $270K/yr
Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement ...
New
Graduate Intern, Innovation - AI Engineering (Spring 2027)
Atlanta, GA · On-site
$16 - $21/hr
Experience developing machine learning models (e.g., neural networks, deep reinforcement learning, gradient boosted trees, etc.) using Python, TensorFlow, PyTorch, or other machine learning platforms
Graduate Intern, Innovation - AI Engineering (Spring 2027)
Atlanta, GA · On-site
$16 - $21/hr
Experience developing machine learning models (e.g., neural networks, deep reinforcement learning, gradient boosted trees, etc.) using Python, TensorFlow, PyTorch, or other machine learning platforms
... deep learning, and reinforcement learning. • Experience with AutoML tools and techniques. • Excellent problem-solving skills and the ability to work in a fast-paced environment. • Strong ...
... deep learning, and reinforcement learning. • Experience with AutoML tools and techniques. • Excellent problem-solving skills and the ability to work in a fast-paced environment. • Strong ...
Background in deep learning for robotics (motion planning, reinforcement learning, pose estimation ... Flexible remote internship and growth opportunities. Gain real-world experience in robotics system ...
Background in deep learning for robotics (motion planning, reinforcement learning, pose estimation ... Flexible remote internship and growth opportunities. Gain real-world experience in robotics system ...
Senior AI/ML Scientist
Atlanta, GA · On-site
$143K - $229K/yr
... Deep Learning Algorithms, Machine Learning (ML), Machine Learning Methods, Predictive Algorithms, Prescriptive Analytics, Reinforcement Learning, Statistical Models, Statistics _____ JOB ALERT FRAUD:
Senior AI/ML Scientist
Atlanta, GA · On-site
$143K - $229K/yr
... Deep Learning Algorithms, Machine Learning (ML), Machine Learning Methods, Predictive Algorithms, Prescriptive Analytics, Reinforcement Learning, Statistical Models, Statistics _____ JOB ALERT FRAUD:
Director of AI Engineering
Cumming, GA · On-site
$143K - $205K/yr
Deep learning, NLP, generative AI, predictive analytics, reinforcement learning. • MLOps & AI Engineering: Model deployment, cloud-based AI solutions, automation, monitoring, and retraining. • ...
Director of AI Engineering
Cumming, GA · On-site
$143K - $205K/yr
Deep learning, NLP, generative AI, predictive analytics, reinforcement learning. • MLOps & AI Engineering: Model deployment, cloud-based AI solutions, automation, monitoring, and retraining. • ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior Staff AI Scientist
Atlanta, GA · On-site
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and ...
Senior Machine Learning Engineer I
Atlanta, GA · On-site
$117K - $155K/yr
Deep understanding of machine learning fundamentals, including supervised, unsupervised, and reinforcement learning techniques, as well as deep learning architectures. * Strong experience with cloud ...
Senior Machine Learning Engineer I
Atlanta, GA · On-site
$117K - $155K/yr
Deep understanding of machine learning fundamentals, including supervised, unsupervised, and reinforcement learning techniques, as well as deep learning architectures. * Strong experience with cloud ...
Senior Machine Learning Engineer I
Atlanta, GA · On-site
$117K - $155K/yr
Deep understanding of machine learning fundamentals, including supervised, unsupervised, and reinforcement learning techniques, as well as deep learning architectures. * Strong experience with cloud ...
Senior Machine Learning Engineer I
Atlanta, GA · On-site
$117K - $155K/yr
Deep understanding of machine learning fundamentals, including supervised, unsupervised, and reinforcement learning techniques, as well as deep learning architectures. * Strong experience with cloud ...
Staff Machine Learning Engineer
Atlanta, GA · On-site +1
$220K - $280K/yr
Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents. What makes you stand out: * Experience implementing reinforcement learning or complex probabilistic ...
Staff Machine Learning Engineer
Atlanta, GA · On-site +1
$220K - $280K/yr
Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents. What makes you stand out: * Experience implementing reinforcement learning or complex probabilistic ...
LLM Engineer (GCP Preferred)
Atlanta, GA · Hybrid
$58 - $60/hr
The ideal candidate will have a strong background in natural language processing, deep learning ... Familiarity with multi-agent systems and reinforcement learning is a strong plus.
Quick apply
LLM Engineer (GCP Preferred)
Atlanta, GA · Hybrid
$58 - $60/hr
The ideal candidate will have a strong background in natural language processing, deep learning ... Familiarity with multi-agent systems and reinforcement learning is a strong plus.
Exposure to advanced ML techniques like deep learning or reinforcement learning. * Knowledge of GPU optimization for accelerating model training processes. Compensation & Benefits * Competitive ...
Exposure to advanced ML techniques like deep learning or reinforcement learning. * Knowledge of GPU optimization for accelerating model training processes. Compensation & Benefits * Competitive ...
Staff AI Scientist
Atlanta, GA · On-site
... to, deep learning (transformers, sequence modeling), tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. * Deep understanding of ...
Staff AI Scientist
Atlanta, GA · On-site
... to, deep learning (transformers, sequence modeling), tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. * Deep understanding of ...
Staff AI Scientist
Atlanta, GA · On-site
... limited to, deep learning ( transformers, sequence modeling), tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. * Deep ...
Staff AI Scientist
Atlanta, GA · On-site
... limited to, deep learning ( transformers, sequence modeling), tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. * Deep ...
Staff AI Scientist
Atlanta, GA · On-site
... to, deep learning (transformers, sequence modeling), tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. * Deep understanding of ...
Staff AI Scientist
Atlanta, GA · On-site
... to, deep learning (transformers, sequence modeling), tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. * Deep understanding of ...
Internship Deep Reinforcement Learning information
See Atlanta, GA salary details
$8.55 - $9.90
3% of jobs
$9.90 - $11.24
3% of jobs
$11.24 - $12.59
3% of jobs
$12.59 - $13.93
9% of jobs
$14.37 is the 25th percentile. Wages below this are outliers.
$13.93 - $15.28
21% of jobs
The median wage is $15.84 / hr.
$15.28 - $16.62
26% of jobs
$17.69 is the 75th percentile. Wages above this are outliers.
$16.62 - $17.97
13% of jobs
$17.97 - $19.31
12% of jobs
$19.31 - $20.66
4% of jobs
$20.66 - $22
3% of jobs
$22 - $23.35
3% of jobs
$8
$16
$23
How much do internship deep reinforcement learning jobs pay per hour?
As of Aug 30, 2026, the average hourly pay for internship deep reinforcement learning in Atlanta, GA is $16.38, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $18.51 per hour, depending on experience, location, and employer.
What is an internship in deep reinforcement learning?
An internship in Deep Reinforcement Learning (DRL) is a temporary, hands-on position where interns learn and apply state-of-the-art machine learning algorithms that enable computers to learn decision-making tasks through trial and error. Interns typically work on projects involving neural networks, reward systems, and environments like games or simulations. These internships provide valuable experience with frameworks such as TensorFlow or PyTorch, and exposure to current research in artificial intelligence. The experience helps students or recent graduates build technical skills and prepare for careers in AI research or industry.
What types of projects or tasks can I expect to work on during a deep reinforcement learning internship?
As a Deep Reinforcement Learning (DRL) intern, you'll typically work on projects involving the development, implementation, and evaluation of reinforcement learning algorithms. This might include tasks like training agents in simulated environments, tuning hyperparameters, analyzing performance metrics, and collaborating with team members to integrate DRL solutions into larger systems. You'll also likely spend time reading recent research papers, experimenting with frameworks such as TensorFlow or PyTorch, and presenting your findings to the research team. Collaboration with mentors and other interns is common, and you'll gain hands-on experience that prepares you for more advanced roles in AI research or engineering.
What are the key skills and qualifications needed to thrive as an intern in deep reinforcement learning?
To thrive as an Intern in Deep Reinforcement Learning, you need a solid background in mathematics (especially linear algebra, probability, and calculus), programming (Python), and foundational knowledge in machine learning principles, usually supported by ongoing or completed coursework in computer science or related fields. Familiarity with frameworks and tools such as TensorFlow, PyTorch, OpenAI Gym, and experience using version control systems like Git are typically required. Analytical thinking, curiosity, and effective communication are essential soft skills for collaborating on research problems and sharing complex findings. These skills and qualities are crucial for contributing to innovative projects and successfully navigating the challenges of cutting-edge AI research.
What is the difference between Internship Deep Reinforcement Learning vs Data Science Intern?
| Aspect | Internship Deep Reinforcement Learning | Data Science Intern |
|---|---|---|
| Required Skills | Machine learning, programming (Python), reinforcement learning concepts | Statistics, data analysis, programming (Python/R), data visualization |
| Work Environment | Research labs, AI companies, tech startups | Business analytics, tech firms, consulting agencies |
| Industry Usage | AI research, robotics, autonomous systems | Business intelligence, marketing, finance |
Internship Deep Reinforcement Learning focuses on developing algorithms that enable systems to learn through trial and error, often in AI research or robotics. Data Science Internships involve analyzing data to extract insights and support decision-making. While both roles require programming skills, reinforcement learning emphasizes AI-specific techniques, whereas data science centers on statistical analysis and data visualization.
What are popular job titles related to Internship Deep Reinforcement Learning jobs in Atlanta, GA?
For Internship Deep Reinforcement Learning jobs in Atlanta, GA, the most frequently searched job titles are:
- Research Neuroscience Undergraduate Internship
- Human Computer Interaction Intern
- Machine Learning Engineer Biotech
- Computer Science Phd Research Intern
- Internship Ibm Quantum Machine Learning
- Part Time Sql Database Internship
- Summer Spanish Artificial Intelligence
- Overnight Computational Linguistics Intern
What job categories do people searching Internship Deep Reinforcement Learning jobs in Atlanta, GA look for?
The top searched job categories for Internship Deep Reinforcement Learning jobs in Atlanta, GA are:
$160K - $270K/yr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 2 days ago
New
AT&T rating
7.4
Based on 733 frontline employees who took The Breakroom Quiz
54th of 101 rated telecommunications companies
Job description
This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered
Overall Purpose: Translate business problems into actionable insights through a comprehensive workflow involving coding, data extraction, cleansing, feature engineering, exploratory data analysis, model creation and tuning, visualization, and deployment, leveraging statistical analysis, machine learning, and big data technologies to drive informed decision-making and innovation.
Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:
Data Extraction and Preparation: Collect data from various structured and unstructured sources (datalakes, databases, data warehouses, on cloud, internal, external) and ensure its quality for analysis through cleaning and preprocessing. Designs, builds, and analyzes large (e.g. 100's of Terabytes or higher as technology advances) and complex data sets while thinking strategically about data use and data design. Tools can include
Coding Solutions, Algorithms and Feature Engineering: Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring/diagnosis/resolutions. Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools).
Model Development, Deployment and Optimization: Build, evaluate, and optimize machine learning models through hyperparameter tuning. Implement models into production, continuously monitor their performance, and ensure they remain explainable and reliable to minimize model decay. Ability to develop custom Machine Learning (ML). Highly proficient in the full AI workflow such as (1) data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining and (2) Uses concepts like mlflow to log metrics. Well-versed in Interactive Development Environments (IDEs) such as Databricks Workspaces or Visual Studio Code. Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI- Knowledge Graphs.
Visualization and Collaboration: Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives. Can utilize advanced coding methods to produce visualizations (e.g. ggplot, D3.js, etc.).
Generative AI: Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Generative Models-Understanding of GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. Fine-Tuning-Techniques for adapting pre-trained models to specific tasks using smaller, task-specific datasets. Agentics-Understanding of agentic architecture, concepts and optimization of solutions. Prompt Engineering-Crafting effective prompts to guide generative models in producing desired outputs. Retrieval-Augmented Generation (RAG)-Combining generative models with retrieval systems to enhance performance and relevance. Text Generation-Proficiency in using models like GPT-3/4 for generating human-like text. Image Generation-Familiarity with tools like DALL-E and Stable Diffusion for creating images from text descriptions.
Job Contribution: An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in-depth knowledge. Leads significant projects with strategic autonomy, influencing executive decisions. Mentors less experienced staff, implements long-term plans impacting the organization, and frequently collaborates with senior leadership. Supervisor: No
TCP Career Step Differentiator: Performs very complex data science work, builds complex business models, and makes recommendations that impact multiple organizations, lines of the business, etc.
Education/Experience: Master's degree (MS/MA) required from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 5+ years of related experience. Certification is required in some areas.
Our Lead Data Scientist earn between $160,900 - $270,400. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Relevant Material Job Duties for which Criminal History may have a direct adverse, and negative relationship potentially resulting in the withdrawal of the Conditional Offer of Employment
Contact with Customers/Candidates/Clients
Safety Sensitivity (Vehicle/Tool/Machine Operation - if applicable)
Handling/Proximity to Sensitive Information
Joining our team comes with amazing perks and benefits:
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected
- Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours:
40Time Type:
RegularLocation:
Atlanta, Georgia, Dallas, Texas, El Segundo, CaliforniaSalary Range:
$160,900.00 - $270,400.00AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.