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Amazon Internship 2025 | Summer Intern Program at Amazon | $65.38 – $107.40 an hour 

Reinforcement Learning and Optimization: The Amazon Summer Internship Program gives college students hands-on experience, mentorship from enterprise professionals, and the opportunity to work on real-world challenges. One such exciting possibility...
Posted in Intership   •   Blog
2025-06-21
Amazon Internship 2025 | Summer Intern Program at Amazon | $65.38 – $107.40 an hour 

Reinforcement Learning and Optimization: The Amazon Summer Internship Program gives college students hands-on experience, mentorship from enterprise professionals, and the opportunity to work on real-world challenges. One such exciting possibility is the Reinforcement Learning and Optimization function in Seattle, WA, offering an aggressive hourly wage of $65.38 – $107.40.

  • Role: Reinforcement Learning and Optimization 
  • Company: Amazon
  • Location: Seattle, WA
  • Salary: $65.38 – $107.40 an hour 
  • Work Type: Full-time, Internship

About Careers at Amazon

Amazon is a global leader in e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994 by Jeff Bezos, the organization has grown into one of the maximum influential tech giants, regarded for its customer-centric approach and innovation-driven way of life. Careers at Amazon provide a dynamic work environment wherein employees and interns collaborate on current projects that shape the future of technology.

Job Description: Reinforcement Learning and Optimization 

As a Reinforcement Learning and Optimization at Amazon, you could work on developing superior algorithms to enhance decision-making tactics throughout various agency domains. This feature entails utilising reinforcement getting to know, gadget getting to know, and optimization strategies to remedy complex troubles in logistics, deliver chain management, robotics, and more. You will collaborate with Amazon’s international beauty scientists and engineers to lay out, put into effect, and test scalable solutions that improve operational performance. This internship is an extraordinary opportunity to advantage enterprise experience at the same time as contributing to impactful duties.

Reinforcement Learning and Optimization at Amazon

Key Responsibilities

  • Research and increase reinforcement by getting to know models to optimize huge-scale structures.
  • Implement machine learning and optimization algorithms to enhance preference-making strategies.
  • Work with go-useful groups to combine answers into Amazon’s operational workflows.
  • Conduct experiments and take a look at statistics to evaluate version average overall performance.
  • Present findings and guidelines to technical and non-technical stakeholders.
  • Stay updated with the modern-day enhancements in reinforcement learning and optimization.

Key Skills Required

  • Strong programming abilities in Python, C++, or Java.
  • Experience with reinforcement getting to know frameworks which include TensorFlow, PyTorch, or RLlib.
  • Knowledge of optimization strategies (e.g., linear programming, dynamic programming).
  • Familiarity with machine learning algorithms and statistical modeling.
  • Ability to paintings with massive datasets and distributed computing frameworks.
  • Strong hassle-fixing and analytical questioning.
  • Excellent verbal exchange and teamwork abilities.

Education and Qualifications

  • Currently pursuing a Master’s or Ph.D. In Computer Science, Machine Learning, Operations Research, Electrical Engineering, or an associated discipline.
  • Strong academic historical past in reinforcement learning, optimization, or artificial intelligence.
  • Prior research or undertaking in reinforcement mastering programs is a plus.
  • Publications in pinnacle-tier conferences (NeurIPS, ICML, AAAI) are high-quality, however, no longer obligatory.

Experience Required

  • Hands-on enjoy with reinforcement learning algorithms (e.g., Q-learning, Policy Gradients, Monte Carlo Methods).
  • Experience in imposing optimization models for actual-world issues.
  • Familiarity with cloud computing structures like AWS is an advantage.
  • Previous internships or research in machine learning and optimization will make the software program stronger.

Job Location

The Reinforcement Learning and Optimization Intern feature is primarily based in Seattle, WA, at Amazon’s headquarters. Seattle is a vibrant tech hub with several possibilities for networking, professional growth, and exploration of the Pacific Northwest.

Reinforcement Learning and Optimization at Amazon

Benefits of Working as an Amazon Intern

Competitive Pay: Earn between $65.38 – $107.Forty consistent per hour, making it one of the highest-paying internships in the enterprise.

Hands-on Experience: Work on actual worldwide tasks that impact lots and hundreds of customers globally.

Mentorship: Learn from leading experts in reinforcement learning and optimization.

Networking Opportunities: Connect with specialists and fellow interns through events and workshops.

Career Growth: High-performing interns may also acquire full-time positions at Amazon.

Cutting-Edge Technology: Gain exposure to superior AI and tool tool-reading device.

Flexible Work Environment: Enjoy a collaborative and innovative place of work lifestyle.

Relocation Assistance: Eligible interns may also receive a guide for housing and travel.

Access to Amazon Resources: Utilize the inner gadget, research papers, and schooling applications.

Work-Life Balance: Amazon promotes a healthy work-life balance with numerous worker well-being programs

 

How to Apply: Click on the Apply Link Below⇓

Apply Now, Here

 

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