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Summer Reinforcement Learning Intern Jobs (NOW HIRING)

Microsoft

Research Intern - Self-Improving AI

Cambridge, MA · On-site

$6.7K - $13K/mo

... summer. Qualifications Required Qualifications * Enrolled in PhD or master's program in machine ... At least 1 year of experience with deep learning, language modeling, and/or reinforcement learning.

Workato

Intern, AI Engineering

San Francisco, CA

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for ...

Chicago Blackhawks

Intern, Hockey Research

Chicago, IL · On-site

$20/hr

Job Title: 2026 Fall Intern, Hockey Research Department: Hockey Strategy & Analytics Location ... reinforcement learning, physics, computer vision, and biomechanics. * Develop advanced learning ...

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Summer Reinforcement Learning Intern information

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How much do summer reinforcement learning intern jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for summer reinforcement learning intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect as a Summer Reinforcement Learning Intern?

As a Summer Reinforcement Learning Intern, you can expect to work on projects ranging from implementing and testing RL algorithms to analyzing experiment results and optimizing model performance. Interns often collaborate with experienced researchers and engineers, contributing to both independent and team projects. You may also be involved in literature reviews, setting up simulation environments, and presenting findings to your team. The role provides hands-on experience with real-world RL applications, and you’ll have the opportunity to learn from feedback and mentorship throughout your internship.

What is the difference between Summer Reinforcement Learning Intern vs Summer Data Science Intern?

AspectSummer Reinforcement Learning InternSummer Data Science Intern
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of machine learning and programmingUndergraduate or graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentResearch-focused, experimental projects, often in AI and machine learning teamsData analysis, modeling, visualization, and reporting tasks across various departments
Employer & Industry UsageTech companies, AI startups, research labsTech firms, finance, healthcare, and consulting industries

The Summer Reinforcement Learning Intern role focuses on developing and testing reinforcement learning algorithms, often within AI research teams. In contrast, the Summer Data Science Intern role involves broader data analysis and modeling tasks. Both roles require programming skills and are common in tech industries, but they differ in their specific focus and project types.

What are Summer Reinforcement Learning Interns?

Summer Reinforcement Learning Interns are students or recent graduates who work temporarily, usually during the summer, to gain hands-on experience in reinforcement learning, a subfield of machine learning. Their responsibilities often include assisting with the development and testing of algorithms, analyzing data, and collaborating with research teams on projects related to artificial intelligence. This role provides an opportunity to apply theoretical knowledge from coursework to real-world problems, often resulting in valuable skills and networking opportunities for future careers in AI or data science.

Is ML a high paying job?

Machine learning roles, including positions like Summer Reinforcement Learning Interns, tend to offer competitive salaries due to the specialized skills required, such as programming in Python and understanding algorithms. Entry-level internships may have lower pay, but full-time roles in machine learning often provide high compensation compared to many other tech jobs, especially with experience and advanced skills.

Is 20 an hour good for an internship?

For a Summer Reinforcement Learning Intern, $20 an hour is generally considered above average for internships in the tech industry, especially for roles requiring specialized skills like machine learning and programming. Compensation can vary based on location, company size, and the intern's experience, but this rate typically reflects a competitive internship wage. Interns should also consider other benefits such as mentorship, project experience, and potential for future employment when evaluating the overall value.

Is there a shortage of ML engineers?

There is a high demand for machine learning engineers, including roles like Summer Reinforcement Learning Interns, due to rapid growth in AI and data-driven technologies. Companies often seek candidates with strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow, leading to competitive job markets for these roles.

What are the key skills and qualifications needed to thrive as a Summer Reinforcement Learning Intern, and why are they important?

To thrive as a Summer Reinforcement Learning Intern, you need a solid background in computer science, mathematics (particularly probability and linear algebra), and experience with machine learning frameworks. Familiarity with Python, TensorFlow or PyTorch, and a strong grasp of reinforcement learning algorithms are typically required, often supported by coursework or relevant certifications. Strong problem-solving skills, curiosity, and effective communication help you stand out in collaborative research and fast-paced project environments. These skills are crucial for contributing to innovative AI projects, rapidly learning new concepts, and effectively sharing findings with mentors and team members.

What are the big 4 internships?

The 'Big 4' internships typically refer to summer internship programs at the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships offer experience in auditing, consulting, tax, and advisory services and are highly competitive for students pursuing careers in accounting and consulting.
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Summer Reinforcement Learning Intern jobs near you
SAP iXp Intern - AI Research PhD Associate (Summer 2026)

SAP iXp Intern - AI Research PhD Associate (Summer 2026)

SAP

Seattle, WA • On-site

Other

Posted 3 days ago

Job description

We help the world run betterAt SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.What You’ll BuildThe SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. This is more than an internship, it’s the foundation for a career built on connection, creativity, and impact.Position title: SAP iXp Intern - AI Research PhD Associate (Summer 2026)*Location: Palo Alto/SeattleExpected Start Date: Summer 2026*Contract Duration: 6 monthsWork Hours: Full-time, 40 hours per week

  • As a PhD Intern you will work with a team of experienced researchers and data scientists taking on challenges posed by the SAP customers and product units. You will have the chance to work with some of the richest data sets available in the world addressing real-world problems
  • Perform state of the art research to advance the performance of agents in enterprise environment
  • Choose from different focus topics: Agentic AI systems development and evaluation, LLM fine-tuning and reinforcement learning, or synthetic data generation for enterprise environments.
  • Publish research results and contribute to research that can be applied to SAP product development
  • Collaborate with academic researchers and cross-functional partners including communicating research plans, progress, and results

What You’ll Bring

We’re looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

  • You are a PhD student at least in your second year or PostDocs, specializing in our research area: Agentic AI systems or scalable synthetic data generation for agents
  • Experience with a strong foundation in AI, including building agentic AI systems, LLM and agent evaluation, LLM fine-tuning and reinforcement learning, and synthetic data generation
  • A strong publication record in recognized ML/NLP conferences or journals such as ACL, EMNLP, ICLR, ICML, NeurIPS
  • Proficient in LangGraph, or some agentic system development framework, with a good understanding of agent evaluation and best practices
  • Must be fluent in English.
  • The duration of the internship is at least 4 months but ideally 6 months and should take place in 2026.

Where You Belong

Be part of SAP Next Gen, a global community for students, universities, schools and educational partners, who are passionate about innovation and technology.

  • Culture of Collaboration: Partner with experienced SAP colleagues and expert mentors who will support your growth. Grow professionally through personalized mentoring, coaching, and career development support.
  • Project-driven Experience: Kickstart your career with hands-on learning experience, making an impact from day one by contributing to meaningful projects that help the world run better. You’ll have endless learning resources at your fingertips and gain future-ready skills from a variety of virtual, in-person, and hybrid learning sessions, cultivated just for you, and aligned with our learning approach.
  • Gain Visibility: Build relationships with leaders and peers across teams and functions. Showcase your ideas, skills, and creativity in a global, fast-paced environment. Open doors for future career opportunities within SAP and beyond.

Follow @LifeatSAP on Instagram and don't miss anything about our experiences worldwide!

#LifeAtSAP #SAPNextGen

Bring out your bestSAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the hourly base salary rate range applicable for the posted role. The targeted range for this position is 15.00 - 62.00 . The actual amount to be offered to the successful candidates will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. SAP offers limited benefits for employees hired into hourly or like roles subject to appliable plan/policy terms. A summary of benefits and eligibility requirements can be found by clicking this link: www.SAPNorthAmericaBenefits.com .

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process .

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 453230 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid

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