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Reinforcement Learning Intern Jobs in California

pony.ai

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 ...

pony.ai

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 ...

Pony.ai

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 ...

pony.ai

Research Intern - Deep Learning

Fremont, CA

$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 ...

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Reinforcement Learning Intern information

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How much do reinforcement learning intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for reinforcement learning intern in California is $16.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 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.

What is a reinforcement learning intern?

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 as a reinforcement learning intern?

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 are the most commonly searched types of Reinforcement Learning jobs in California?

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Reinforcement Learning Intern jobs near you
Infographic showing various Reinforcement Learning Intern job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $34,972 per year, or $16.8 per hour.

SAP iXp Intern - AI Research PhD Associate

SAP

Palo Alto, CA • On-site

Full-time, Internship

Re-posted 21 days ago

Job description

We help the world run better
At 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 Build
The 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
Location: Palo Alto/Seattle
Expected Start Date: September 2026
Contract Duration: 6 months
Work 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.
  1. 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.
  2. 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.
  3. 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 best
SAP 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
Requisition ID: 453230
Posted Date: Jun 26, 2026
Work Area: Information Technology
Career Status: Student
Employment Type: Limited Full Time
Expected Travel: 0 - 10%
Location:

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