1

Ai Engineer Intern Jobs (NOW HIRING)

About the Role Join a fast-growing AI-powered talent marketplace startup that is reimagining how top candidates connect with their next opportunity. As a Founding Engineer Intern , you'll work ...

Software Engineer Intern HyperLight is at the forefront of the commercialization of thin-film ... across AI/datacom infrastructure, hyperscale computing, quantum computing, sensing, and beyond.

Codeworks, an LRS company, is seeking a Software Enginner for a contract/intern opportunity. Join a ... Please contact AI.Questions@lrs.com with any questions.

As a Software Engineering intern at Centerfield, you'll work directly with our Engineering team ... You will be involved in the full software development lifecycle of AI-powered conversational ...

About the Role A fast-growing, pre-seed AI startup in the talent and recruiting space is looking for a Founding Engineer Intern to join their founding team in San Francisco. You'll work directly with ...

About the Role A fast-growing, pre-seed AI startup in the talent and recruiting space is looking for a Founding Engineer Intern to join their founding team in San Francisco. You'll work directly with ...

AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Microcode summer intern engineers at Ambarella are ...

Who We Are Serval is an AI-native automation platform transforming how enterprises operate. We ... Role Overview As a Software Engineer Intern, Backend at Serval, you'll work directly on core parts ...

AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. We are looking for a Software Engineer intern to work on ...

The Firmware Engineer Intern is primarily responsible for providing technical excellence in ... Use AI-assisted tools to support embedded firmware development, including code generation, test ...

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new ...

Description The Firmware Engineer Intern is primarily responsible for providing technical ... Use AI-assisted tools to support embedded firmware development, including code generation, test ...

The Firmware Engineer Intern is primarily responsible for providing technical excellence in ... Use AI-assisted tools to support embedded firmware development, including code generation, test ...

next page

Showing results 1-20

Ai Engineer Intern information

See salary details

$13

$25

$38

How much do ai engineer intern jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for ai engineer intern in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are some common challenges an AI Engineer Intern might face during their internship?

As an AI Engineer Intern, you may encounter challenges such as adapting to complex codebases, understanding large datasets, and balancing theoretical concepts with practical implementation. It’s common to work on projects where requirements or data may change rapidly, requiring flexibility and problem-solving skills. Additionally, collaborating with cross-functional teams like data scientists or software engineers can be an adjustment, as effective communication is key to integrating AI solutions into broader products.

What are the key skills and qualifications needed to thrive as an AI Engineer Intern, and why are they important?

To thrive as an AI Engineer Intern, you need a solid grounding in computer science fundamentals, programming (especially Python), and a basic understanding of machine learning algorithms, often supported by coursework or personal projects. Familiarity with tools and frameworks like TensorFlow, PyTorch, and Git, as well as experience with data analysis libraries such as NumPy and pandas, is typically expected. Strong problem-solving abilities, curiosity, and effective communication skills help interns stand out when collaborating and learning in fast-paced environments. These skills and qualities are crucial for quickly adapting to technical challenges and contributing meaningfully to AI development projects.

What does an AI Engineer Intern do?

An AI Engineer Intern assists in designing, developing, and testing artificial intelligence models and algorithms under the supervision of experienced engineers. Their tasks may include data preprocessing, building machine learning models, evaluating model performance, and collaborating with cross-functional teams. Interns often work on real-world projects, gaining hands-on experience with AI tools and technologies such as Python, TensorFlow, or PyTorch. The internship provides valuable insight into the AI development lifecycle and helps interns build foundational skills for a career in artificial intelligence.
More about Ai Engineer Intern jobs
What cities are hiring for Ai Engineer Intern jobs? Cities with the most Ai Engineer Intern job openings:
What are the most commonly searched types of Ai Engineer jobs? The most popular types of Ai Engineer jobs are:
What states have the most Ai Engineer Intern jobs? States with the most job openings for Ai Engineer Intern jobs include:
Infographic showing various Ai Engineer Intern job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

AI Research Engineer Intern

Renesas Electronics

San Jose, CA • On-site

$31.25 - $47.75/hr

Full-time, Internship

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.


Job description

Company Description
Job Description
Internship - 3-6 months (start date asap) and extendable
San Jose, CA - Hybrid
About Renesas
Renesas Electronics is a global leader in embedded semiconductor solutions, enabling connected and intelligent devices across automotive, industrial, and IoT markets. The Gen5 Model Development team is advancing next-generation AI systems for automotive applications, with a focus on foundation models, causal reasoning, video understanding, and deployment on edge automotive SoCs.
We are seeking motivated AI research interns to help develop advanced AI technologies for ADAS and autonomous driving.
Internship Overview
The selected intern will work on developing a Causal ADAS Foundation Model that can understand complex driving scenes, identify causally relevant agents, predict future risk, and support safer trajectory planning.
This internship combines research and engineering across autonomous driving, video foundation models, multi-modal AI, causal reasoning, risk prediction, trajectory planning, and edge AI deployment. Interns will collaborate with researchers and engineers on work that may lead to publications, patents, and deployment on Renesas automotive platforms.
Key Responsibilities
• Develop and evaluate AI models for video-based driving scene understanding.
• Design methods to identify causal factors influencing driving decisions.
• Build models for risk prediction, collision forecasting, and safety assessment.
• Develop trajectory prediction and planning models for ADAS applications.
• Create counterfactual and intervention-based evaluation pipelines.
• Benchmark models against state-of-the-art open-source and commercial baselines.
• Optimize models for deployment on Renesas automotive hardware platforms.
• Document findings and contribute to technical reports, publications, or patent disclosures.
Qualifications
Minimum Qualifications
• Currently pursuing a BS, MS, or PhD in Computer Science, AI, Machine Learning, Robotics, Electrical Engineering, or a related field.
• Strong programming skills in Python.
• Experience with PyTorch or TensorFlow.
• Good understanding of machine learning, deep learning, computer vision, and neural network architectures.
• Strong analytical and problem-solving skills.
• Experience in one or more areas such as Autonomous Driving, Large Language Models (LLMs), Vision-Language Models (VLMs), Vision-Language-Action (VLA) Models, World Models, Reinforcement Learning, Causal AI, Multi-modal Learning, Robotics, ONNX, TensorRT, or Edge AI deployment.
What You Will Gain
• Hands-on experience building advanced AI systems for automotive applications.
• Exposure to large-scale autonomous driving datasets and evaluation platforms.
• Opportunity to contribute to research publications, patents, and technical documentation.
• Experience deploying AI workloads on real automotive hardware.
• Mentorship from experts in AI, embedded systems, and autonomous driving.
Deliverables
By the end of the internship, successful candidates are expected to:
• Develop a working prototype of a causal ADAS model or subsystem.
• Benchmark performance against existing baselines.
• Deliver reproducible training and evaluation pipelines.
• Present technical results to engineering leadership.
• Contribute to publication-quality research artifacts or documentation.
Additional Information
The expected hourly pay range for this position is $31.25/hr - $47.75/hr. This position is also eligible for bonus opportunities. Please note that the final offer amount, including any applicable bonuses, will be dependent on geographic location, relevant experience, and skillset of the candidate.
Interns may be eligible for certain Company-provided benefits, which can include sick leave, holiday pay, and medical, dental, and vision insurance. Eligibility and specific benefits will be provided in accordance with Company policy and applicable law.
Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world-leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.
At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.
We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.
Are you ready to join our team and shape the future with us?
Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.
Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.
Videos To Watch
https://www.youtube.com/embed/k-zs4tB6nNc