We are seeking a PhD intern to join us for a Fall 2026 engagement (targeting a September 2026 start ... Coursework or research experience in advanced NLP, advanced ML systems, or reinforcement learning
We are seeking a PhD intern to join us for a Fall 2026 engagement (targeting a September 2026 start ... Coursework or research experience in advanced NLP, advanced ML systems, or reinforcement learning
Research Intern RL & Post-Training Systems, Turbo (Fall 2026)
San Francisco, CA · On-site
$58 - $63/hr
... post-training and reinforcement learning for large language models efficient, scalable, and ... As a research intern, you will study RL and post-training methods whose performance and scalability ...
Research Intern RL & Post-Training Systems, Turbo (Fall 2026)
San Francisco, CA · On-site
$58 - $63/hr
... post-training and reinforcement learning for large language models efficient, scalable, and ... As a research intern, you will study RL and post-training methods whose performance and scalability ...
Research Intern RL & Post-Training Systems, Turbo (Fall 2026)
San Francisco, CA · On-site
$58 - $63/hr
... post-training and reinforcement learning for large language models efficient, scalable, and ... As a research intern, you will study RL and post-training methods whose performance and scalability ...
Research Intern RL & Post-Training Systems, Turbo (Fall 2026)
San Francisco, CA · On-site
$58 - $63/hr
... post-training and reinforcement learning for large language models efficient, scalable, and ... As a research intern, you will study RL and post-training methods whose performance and scalability ...
... reinforcement learning. * Prior publication record and research experience. * Strong Python and ... You will also be eligible for Intern benefits. Applications for this job will be accepted at least ...
... reinforcement learning. * Prior publication record and research experience. * Strong Python and ... You will also be eligible for Intern benefits. Applications for this job will be accepted at least ...
Preferred Qualifications Reinforcement learning, on-policy distillation. Post-training, mid-training large language models. LLM context lengthening.
Preferred Qualifications Reinforcement learning, on-policy distillation. Post-training, mid-training large language models. LLM context lengthening.
Research Intern - Deep Learning
Fremont, CA · On-site
$7.0K - $10K/mo
Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems ...
Research Intern - Deep Learning
Fremont, CA · On-site
$7.0K - $10K/mo
Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems ...
Research Intern - Deep Learning
Fremont, CA · On-site
$7.0K - $10K/mo
Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems ...
Quick apply
Research Intern - Deep Learning
Fremont, CA · On-site
$7.0K - $10K/mo
Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems ...
Human Interactive Driving Intern - World Models
Los Altos, CA · On-site
$45 - $65/hr
Research Intern, you will conduct original research at the intersection of machine learning and ... agent interaction, reinforcement learning, perception, or simulation-to-reality transfer.
Human Interactive Driving Intern - World Models
Los Altos, CA · On-site
$45 - $65/hr
Research Intern, you will conduct original research at the intersection of machine learning and ... agent interaction, reinforcement learning, perception, or simulation-to-reality transfer.
Research Intern - Deep Learning
$7.0K - $10K/mo
Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems ...
Research Intern - Deep Learning
$7.0K - $10K/mo
Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems ...
Human Interactive Driving Intern - World Models
Los Altos, CA · On-site
$45 - $65/hr
Research Intern, you will conduct original research at the intersection of machine learning and ... agent interaction, reinforcement learning, perception, or simulation-to-reality transfer.
Human Interactive Driving Intern - World Models
Los Altos, CA · On-site
$45 - $65/hr
Research Intern, you will conduct original research at the intersection of machine learning and ... agent interaction, reinforcement learning, perception, or simulation-to-reality transfer.
Machine Learning Engineer Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Summer (BS/MS)
Seattle, WA · On-site
$42.75/hr
... reinforcement learning-based data mining, and help design Chain-of-Thought (CoT) annotation ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
Machine Learning Engineer Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Summer (BS/MS)
Seattle, WA · On-site
$42.75/hr
... reinforcement learning-based data mining, and help design Chain-of-Thought (CoT) annotation ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
Machine Learning Engineer Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Summer(BS/MS)
San Jose, CA · On-site
$45/hr
... reinforcement learning-based data mining, and help design Chain-of-Thought (CoT) annotation ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
Machine Learning Engineer Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Summer(BS/MS)
San Jose, CA · On-site
$45/hr
... reinforcement learning-based data mining, and help design Chain-of-Thought (CoT) annotation ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty * Advance recommendation quality through ...
Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty * Advance recommendation quality through ...
Machine Learning Engineer Intern (Monetization Technology - Ads Core Global) - 2026 Summer (BS/MS)
San Jose, CA · On-site
$45 - $60/hr
Factorization Machine, Uplift Modeling, Diffusion Models, Reinforcement Learning. 2. Basic ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
Machine Learning Engineer Intern (Monetization Technology - Ads Core Global) - 2026 Summer (BS/MS)
San Jose, CA · On-site
$45 - $60/hr
Factorization Machine, Uplift Modeling, Diffusion Models, Reinforcement Learning. 2. Basic ... Job Information [For Pay Transparency]Compensation Description (Hourly) - Campus Intern The hourly ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Bodega Bay, CA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Bodega Bay, CA · Remote
You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build ...
Graduate (3-12 month) Intern - Artificial Intelligence for Power System Operations
Golden, CO · On-site +1
$51K - $81K/yr
Experience with other ML/AI techniques, including reinforcement learning and graph neural networks ... Intern assignments extending beyond six months will be subject to this requirement. Drug Free ...
Graduate (3-12 month) Intern - Artificial Intelligence for Power System Operations
Golden, CO · On-site +1
$51K - $81K/yr
Experience with other ML/AI techniques, including reinforcement learning and graph neural networks ... Intern assignments extending beyond six months will be subject to this requirement. Drug Free ...
What to expect As an intern, you will be responsible for helping build the software and machine ... reinforcement learning, or multimodal AI * Have experience building and deploying machine learning ...
What to expect As an intern, you will be responsible for helping build the software and machine ... reinforcement learning, or multimodal AI * Have experience building and deploying machine learning ...
2026 Fall Applied Science Internship - Natural Language Processing and Speech Technologies - United
Seattle, WA · On-site
$17 - $22.75/hr
NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning. In this role, you will work alongside ...
2026 Fall Applied Science Internship - Natural Language Processing and Speech Technologies - United
Seattle, WA · On-site
$17 - $22.75/hr
NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning. In this role, you will work alongside ...
2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robot
San Francisco, CA · On-site
As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned ... learning, reinforcement learning, computer vision, and motion planning to tackle real-world ...
2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robot
San Francisco, CA · On-site
As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned ... learning, reinforcement learning, computer vision, and motion planning to tackle real-world ...
2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robot
San Francisco, CA · On-site
As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned ... learning, reinforcement learning, computer vision, and motion planning to tackle real-world ...
2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robot
San Francisco, CA · On-site
As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned ... learning, reinforcement learning, computer vision, and motion planning to tackle real-world ...
Reinforcement Learning Intern information
See salary details
$8.89 - $10.29
3% of jobs
$10.29 - $11.69
3% of jobs
$11.69 - $13.09
3% of jobs
$13.09 - $14.49
9% of jobs
$14.94 is the 25th percentile. Wages below this are outliers.
$14.49 - $15.89
21% of jobs
The median wage is $16.47 / hr.
$15.89 - $17.29
26% of jobs
$18.39 is the 75th percentile. Wages above this are outliers.
$17.29 - $18.68
13% of jobs
$18.68 - $20.08
12% of jobs
$20.08 - $21.48
4% of jobs
$21.48 - $22.88
3% of jobs
$22.88 - $24.28
3% of jobs
$8
$17
$24
How much do reinforcement learning intern jobs pay per hour?
As of Jul 11, 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 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.
Does IQVIA pay interns?
Reinforcement Learning Interns at IQVIA are typically paid positions, with compensation varying based on location, experience, and program duration. Internships often include stipends or hourly wages and may require a commitment of several months, providing practical experience in data analysis and machine learning tools.
Is ML a high paying job?
Reinforcement Learning Intern positions are typically considered entry-level roles in the machine learning field, and salaries can vary based on location, company, and experience. Generally, machine learning roles tend to offer higher-than-average starting salaries compared to many other tech positions, especially for those with specialized skills in algorithms, programming, and data analysis.
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 are highly competitive and often focus on areas such as consulting, audit, tax, and advisory services, providing valuable experience for students pursuing careers in accounting and finance.
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.
How much do ML interns get paid?
Reinforcement Learning interns, as a type of machine learning intern, typically earn between $20 and $40 per hour, depending on the company, location, and level of experience. Paid internships often include opportunities to work with tools like Python and TensorFlow and may be full-time or part-time during the summer or academic year.
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.
More about Reinforcement Learning Intern jobs
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Full-time
Medical, Life, Retirement, PTO
Posted 17 days ago
Netflix rating
5.8
Based on 15 frontline employees who took The Breakroom Quiz
58th of 67 rated media
Job description
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films, and games across a wide variety of genres and languages. Members can play, pause, and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The AIMS AI Foundations team sits within the AI for Member Systems (AIMS) organization and focuses on the research and engineering foundations that underpin next-generation member experiences. Our work spans agentic AI systems, LLM evaluation frameworks, multimodal modeling and training data curation. We work at the intersection of applied research and product impact, translating novel ideas into measurable improvements for Netflix members worldwide.
We are seeking a PhD intern to join us for a Fall 2026 engagement (targeting a September 2026 start, with flexibility). This is a hands-on applied research role: you will be expected to design and run experiments, build prototypes, and contribute meaningfully to ongoing team projects in one or more of our core domain areas.
Domain AreasInterns will be matched to projects within one or more of the following focus areas:
Agentic AI - Developing and evaluating systems that reason, plan, and act autonomously, including tool use, retrieval-augmented reasoning, memory and goal management, and feedback-driven learning.
LLM Evaluations - Designing rigorous evaluation frameworks, benchmarks, and quality metrics to assess language model behavior, reliability, and alignment.
Multimodal Data - Building models and pipelines that integrate text, image, video, audio, and other data modalities; experience with large vision-language models and modality fusion.
LLM Training Data Curation - Researching and implementing methods for selecting, filtering, and improving training data quality to enhance model performance.
Currently enrolled PhD student in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Cognitive Science, or a related field
Able to work 40 hours per week during the fall/winter
Proficiency in Python
Strong foundation in machine learning, deep learning, and algorithms/statistics
Experience with one or more major ML frameworks: PyTorch, TensorFlow, or JAX
Ability to design, run, and interpret ML experiments in an applied research setting
Ability to translate research ideas into practical prototypes and evaluations
Strong oral and written communication skills for presenting technical work clearly
Coursework or research experience in advanced NLP, advanced ML systems, or reinforcement learning
Familiarity with HuggingFace, Transformers, Pandas, NumPy, and scikit-learn
Publications in top venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, CIKM, WWW, UAI, CVPR, or related
Experience with agentic systems, multimodal modeling, or applied LLM workflows
Exposure to evaluation design, benchmarking, and model quality tradeoffs
Familiarity with distributed computing environments such as Spark or Presto
Comfortable with software engineering best practices (version control, testing, code review)
At Netflix, we offer a personalized experience for interns. Our aim is to provide an experience that mirrors what it is truly like to work here. Interns are fully embedded within their team, own meaningful projects, and operate with the same autonomy as full-time employees.
Internship duration: minimum 12 weeks, targeting a September 2026 start date
Location: Los Gatos, CA headquarters or remote; flexible depending on team
This program is intended for students who will be returning to school for at least one semester/quarter following the internship
Submit your application on our Netflix Careers site
Complete the Airtable supplemental form sent after initial application submission - applications are not considered complete without it
Include a resume or CV with complete contact information, relevant coursework, and publications (if applicable)
Include a short statement describing your research experience and interests, and optionally their relevance to the AIMS AI Foundations team's focus areas
Applications are reviewed on a rolling basis. For inspiration, visit the Netflix Research site.
At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. The overall market range for Netflix Internships is typically $40/hour - $85/hour.
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
About Netflix
Sourced by ZipRecruiter
Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.
Industry
Arts, entertainment, and recreation
Company size
5,001 - 10,000 Employees
Headquarters location
Los Gatos, CA, US
Year founded
1997