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Internship Deep Reinforcement Learning Jobs in Georgia

Intuit

Staff AI Scientist

Atlanta, GA

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 ...

Intuit

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 ...

Intuit

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 ...

Intuit

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 ...

Intuit

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 ...

Intuit

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 ...

PrizePicks

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 ...

Intuit

Staff AI Scientist

Atlanta, GA

... to, deep learning (transformers, sequence modeling), tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing. * Deep understanding of ...

Intuit

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 ...

Intuit

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 ...

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Internship Deep Reinforcement Learning information

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 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 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?

AspectInternship Deep Reinforcement LearningData Science Intern
Required SkillsMachine learning, programming (Python), reinforcement learning conceptsStatistics, data analysis, programming (Python/R), data visualization
Work EnvironmentResearch labs, AI companies, tech startupsBusiness analytics, tech firms, consulting agencies
Industry UsageAI research, robotics, autonomous systemsBusiness 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.

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Internship Deep Reinforcement Learning jobs near you

Opening for Humanoid Robotics Engineer - Atlanta, GA

Aptuity Solutions, Inc

Atlanta, GA • On-site

Other

Re-posted 12 days ago

Job description

We have an opening for Humanoid Robotics Engineer

Location - Atlanta, GA

Full time permanent position

Required only local candidate

Key Responsibilities
Design and implement a robust remote control architecture for the Unitree humanoid robot with sensor integration
Build a reliable communication interface for teleoperation and semi-autonomous modes.
Integrate perception systems (e.g., cameras, LiDAR, IMU) for enhanced situational awareness.
Conduct real-time testing, troubleshooting, and performance optimization.
Document system design, codebase, and experimental results.
Collaborate with the team to ensure modularity, scalability, and safety compliance.

Qualifications
Currently pursuing a Bachelor s, Master s, or PhD in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
Strong problem-solving skills and an innovative mindset.
Familiarity with robot kinematics, dynamics, and control theory.
Experience with real-time communication protocols (e.g., ROS2, UDP, TCP/IP).
Knowledge of robot perception systems (computer vision, sensor fusion).
Ability to work independently in a remote, collaborative environment.

Preferred Skills
Hands-on experience with Unitree robots (G1, H1, H1 Pro, or similar platforms).
Background in deep learning for robotics (motion planning, reinforcement learning, pose estimation).
Familiarity with simulation environments (Gazebo, Isaac Sim, PyBullet, or Mujoco).
Programming skills in Python, C++, or ROS (Robot Operating System).

Benefits
Opportunity to work on cutting-edge humanoid robotics technology.
Flexible remote internship and growth opportunities.
Gain real-world experience in robotics system integration and robotics control engineering.
Potential for future full-time employment based on performance.

Apply