ZipRecruiter

Log In

1

Reinforcement Learning Intern Jobs (NOW HIRING)

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 ...

Fujitsu

Research Intern - DIP-1

Santa Clara, CA · On-site

Research Intern at Fujitsu's Space Data Frontiers Research Center The Space Data Frontiers Research ... reinforcement learning and inverse reinforcement learning, to analyze and model human mobility ...

Adaptive ML

Member of Technical Staff (intern)

New York, NY · On-site

$18.25 - $23.75/hr

About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations ... As a Technical Intern, you will contribute to building parts of the foundational technology that ...

next page

Showing results 1-20

People also search for

All JobsReinforcement Learning Intern Jobs

Reinforcement Learning Intern information

See salary details

$8

$17

$24

How much do reinforcement learning intern jobs pay per hour?

As of May 31, 2026, the average hourly pay for 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 is a Reinforcement Learning Intern job?

A Reinforcement Learning (RL) Intern is responsible for researching, developing, and testing RL algorithms to solve complex problems. They typically work on tasks such as implementing reinforcement learning models, optimizing reward functions, and running experiments in simulated environments. Interns collaborate with researchers and engineers to refine models and improve the efficiency of RL systems. They usually have experience in machine learning, deep learning, and programming languages like Python. The role provides hands-on experience in applying RL techniques to real-world applications.

What are the key skills and qualifications needed to thrive in the Reinforcement Learning Intern position, and why are they important?

To thrive as a Reinforcement Learning Intern, you need strong knowledge of machine learning fundamentals, programming proficiency (usually in Python), and a background in mathematics or computer science, often demonstrated through academic coursework or relevant projects. Familiarity with popular machine learning libraries such as TensorFlow, PyTorch, and RL-specific frameworks like OpenAI Gym is typically expected. Effective problem-solving skills, attention to detail, and the ability to communicate technical findings clearly are valuable soft skills in this position. These capabilities enable interns to contribute meaningfully to research and development efforts, bridging theory and practical application in real-world reinforcement learning projects.

What kinds of projects or tasks can I expect to work on as a Reinforcement Learning Intern?

As a Reinforcement Learning Intern, you will typically work on tasks such as designing, implementing, and testing reinforcement learning algorithms, analyzing experimental results, and assisting with data preprocessing or environment development. You may also collaborate with senior researchers and engineers, participate in code reviews, and contribute to technical discussions or team meetings. In many organizations, interns are given the chance to work on real-world problems—ranging from optimizing robotic control systems to enhancing recommendation engines. This hands-on experience not only builds your technical expertise but also helps you develop valuable teamwork and communication skills, preparing you for a future career in AI or machine learning.
More about Reinforcement Learning Intern jobs
What cities are hiring for Reinforcement Learning Intern jobs? Cities with the most Reinforcement Learning Intern job openings:
What are the most commonly searched types of Reinforcement Learning jobs? The most popular types of Reinforcement Learning jobs are:
What states have the most Reinforcement Learning Intern jobs? States with the most job openings for Reinforcement Learning Intern jobs include:
What job categories do people searching Reinforcement Learning Intern jobs look for? The top searched job categories for Reinforcement Learning Intern jobs are:
Reinforcement Learning Intern jobs near you
Infographic showing various Reinforcement Learning Intern job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Temporary. Highlights an 100% Physical job distribution, with an average salary of $35,436 per year, or $17 per hour.
PhD Fall Machine Learning Intern (ATG - Visual, Multimodal, and Recommender Systems)

PhD Fall Machine Learning Intern (ATG - Visual, Multimodal, and Recommender Systems)

Pinterest

Palo Alto, CA • On-site, Remote

Other

Posted 10 days ago

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.


What you'll do:

  • Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.
  • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
  • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
  • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
  • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
  • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  • Write clean, efficient, and sustainable code
  • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers


What we're looking for:

  • This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs.
  • Ability to legally work full time (40 hours/week) from September-December 2026
  • Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
  • Proficiency with AI-native engineering, including the design of agent-friendly codebases.
  • High degree of autonomy in learning new agent-first development tools.
  • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
  • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
  • Experience in research and in solving analytical problems
  • Strong communicator and team player. Being able to find solutions for open-ended problems.

Preferred Qualifications:

    • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    • Strong passion for research and for answering hard questions with research
    • Passion for applied ML and the Pinterest product

Why Intern at Pinterest?

  • Meaningful Work: Contribute to projects that impact millions of users worldwide.
  • Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.


In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  • This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.


US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Apply