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Internship Deep Reinforcement Learning Jobs in Portland, OR

Intel

AI Solutions Engineer

Hillsboro, OR · On-site

$133K - $188K/yr

... solutions for deep learning and machine learning systems that integrate hardware, software ... Develops new methods in the areas of reinforcement learning, policy learning, computer vision ...

New

Intel

Sr. Machine Learning Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

... reinforcement learning. * Ability to own and drive a research agenda independently, generating ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

Varsity Tutors

BCABA Tutor

Portland, OR · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of BCABA examination content covering basic behavior-analytic skills, philosophical ...

Slalom Consulting

General Information

Portland, OR · On-site

The ideal candidate brings a strong consulting background, deep expertise in organizational change ... Resistance Management & Reinforcement • Identify sources of resistance and develop tailored ...

The Villa Health

Teacher Assistant

Vancouver, WA · On-site

$20/hr

At RootWise, learning extends far beyond textbooks: our holistic approach helps students grow ... Provide behavioral support using methods such as redirecting, positive reinforcement, and ...

Intel

AI Software Engineering Intern

Hillsboro, OR

$101K - $136K/hr

... deep learning. Assists in implementing and tuning models for performance and accuracy, applied ... Available to work part-time for 6-12 months and to work onsite for the duration of the internship ...

Intel

AI Software Engineering Intern

Hillsboro, OR · On-site

... deep learning. Assists in implementing and tuning models for performance and accuracy, applied ... Available to work part-time for 6-12 months and to work onsite for the duration of the internship ...

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Internship Deep Reinforcement Learning information

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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 Portland, OR is $18.07, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $20.38 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?

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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Cities near Portland, OR with the most Internship Deep Reinforcement Learning job openings:

Internship Deep Reinforcement Learning jobs near you

AI Solutions Engineer

Intel

Hillsboro, OR • On-site

$133K - $188K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

New

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

18th of 159 rated electronics manufacturers

Job description

Job Details:Job Description: 

The AI solution engineer is responsible for the overall design and development of integrated Artificial Intelligence (AI) solutions for deep learning and machine learning systems that integrate hardware, software, firmware, board, and silicon components with specific focus on customer requirements and implementation limitations throughout the systems lifecycle. May also be responsible for AI systems architecture and definition, including translating the business opportunity into use cases and developing product specifications for required hardware and software needed to deliver system requirements.

Impacts and influences the AI product roadmap and development based on profound comprehension of AI and deep learning algorithms, deep learning customer requirements, and deep learning software frameworks. Impacts related technologies/components such as memory, security, and OS that may be central to the final solution. Develops new methods in the areas of reinforcement learning, policy learning, computer vision, machine learning, simulation, sim2real, autonomous driving, and robotics.

Key Responsibilities

  • Leads design, analysis, and implementation of componentlevel choices across the integrated AI systems on performance, features, and cost, including analysis of risks and emphasis on ease of use, reliability, security, availability, maintainability, sustainability, and quality.

  • Defines systems implementation and integration approach and plans to ensure optimum performance and reliability across hardware and software that comprise the system.

  • Delivers end to end technical solutions to solve customer problems, deploying solutions, executing benchmark tests, and preparing documentation. Conducts analysis and makes reliable engineering recommendations to ensure reliability/resiliency of the AI infrastructure.

  • Monitors and reports on utilization and plans continuous process improvement.

  • Collaborates with other teams to analyze next generation requirements and opportunities and may influence and guide research and academic collaboration in the space of cloud systems and solutions, including proof of concept and solutions beyond current industry approaches.

  • Contributes applied/customer knowledge to AI roadmap working with AI system architects.

  • Simulates real life environments in the cluster environment and analyzes performance of prototypes

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Master's Degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or related STEM field

1+ years of experience in 1 or more of the following:

  • AI Systems and Solutions

  • Foundational knowledge of deep learning and machine learning algorithms, frameworks, and models.

  • Proficiency in programming languages such as Python, C++, or similar.

  • Familiarity with AI software tools and platforms, including TensorFlow or PyTorch.

  • Understanding of systems integration, hardware/software components, and development lifecycles.

Join us at Intel to contribute to technological advancements while building a rewarding and impactful career. Apply now to be a part of our extraordinary journey.

Job Type:College GradShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $133,410.00-188,340.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

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Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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