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Internship Ai Programmer Jobs (NOW HIRING)

They are seeking a Jr. AI Engineer to contribute to their growing AI capabilities. Position Summary ... Internship experience, academic work, bootcamp projects, portfolio projects, or open-source ...

AI Engineer Intern - AI Center of Excellence (CoE) Location ... Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ...

AI/ML Engineering Internship - 17595

Sunnyvale, CA · On-site +1

$19.75 - $25.50/hr

General Information Job Title AI/ML Engineering Internship Job ID 17595 City Sunnyvale State/Province California Date Posted 21-May-2026 Job Category Interns/Temp Job Subcategory Intern (Technical ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box Eligibility: Master's students with at least 6 ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Previous projects or internship experience involving machine learning or AI (especially work with ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Previous projects or internship experience involving machine learning or AI (especially work with ...

Providing technical guidance and mentorship to junior engineers or interns. * Documenting code ... AI Engineers candidates should hold a Bachelor's or Master's Degree in Computer Science, Electrical ...

This internship is ideal for students or recent graduates with a strong computer science background ... Collaborate with engineers to design APIs, services, and data flows that support AI applications.

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Internship Ai Programmer information

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How much do internship ai programmer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for internship ai programmer 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 the key skills and qualifications needed to thrive as an Internship AI Programmer, and why are they important?

To succeed as an Internship AI Programmer, you need a solid grasp of programming languages such as Python or Java, basic knowledge of machine learning concepts, and enrollment in or completion of a related degree (e.g., computer science, data science). Familiarity with frameworks like TensorFlow or PyTorch and version control systems such as Git is highly valuable. Curiosity, problem-solving ability, and willingness to learn help interns adapt quickly and contribute effectively in fast-paced environments. These skills and qualities ensure interns can support real-world AI projects, grow their expertise, and add value to their teams.

What types of projects and tasks can an AI Programmer Intern expect to work on during their internship?

As an AI Programmer Intern, you can expect to contribute to a variety of projects, ranging from building and testing machine learning models to supporting data preprocessing and algorithm optimization. Interns often assist with coding in languages like Python or C++, analyzing datasets, and collaborating with senior engineers to integrate AI features into applications. The role typically involves regular meetings with cross-functional teams, which helps interns gain exposure to the broader development process and learn best practices in AI programming. This hands-on experience is invaluable for building technical skills and understanding real-world AI development cycles.

What does an AI Programmer Intern do?

An AI Programmer Intern assists in developing, testing, and optimizing artificial intelligence algorithms and systems, often under the guidance of experienced engineers. Their tasks may include coding machine learning models, managing data sets, and helping integrate AI features into software products. This role provides hands-on experience in areas such as deep learning, natural language processing, or computer vision. Interns also collaborate with teams to solve real-world problems using AI and gain exposure to the latest technologies in the field.

What is the difference between Internship Ai Programmer vs Data Analyst Intern?

AspectInternship Ai ProgrammerData Analyst Intern
Required SkillsProgramming, AI/ML concepts, Python, TensorFlowData analysis, SQL, Excel, statistical skills
Work EnvironmentTech companies, AI research labs, startupsBusiness, finance, marketing departments
Industry UsageArtificial Intelligence, Machine Learning, Software DevelopmentBusiness Intelligence, Data Management, Reporting

Internship Ai Programmers focus on developing AI models and algorithms, requiring programming and machine learning skills. Data Analyst Interns analyze data sets to generate insights, emphasizing statistical and data management skills. Both roles are common in tech-driven industries but serve different functions within data and AI projects.

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What cities are hiring for Internship Ai Programmer jobs? Cities with the most Internship Ai Programmer job openings:
What are the most commonly searched types of Ai Programmer jobs? The most popular types of Ai Programmer jobs are:
What states have the most Internship Ai Programmer jobs? States with the most job openings for Internship Ai Programmer jobs include:
Infographic showing various Internship Ai Programmer job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 28% Physical, 7% Hybrid, and 65% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Software Internship - AI & Battery Informatics

Software Internship - AI & Battery Informatics

Sila Nanotechnologies, Inc.

Alameda, CA • On-site

Full-time

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


Job description

Job Summary:
Sila Nanotechnologies, Inc. is a next-generation battery materials company focused on powering the transition to clean energy. They are seeking an AI-forward software intern to support their Battery Engineering & R&D teams by developing autonomous workflows and data systems that enhance battery performance analysis and management.
Responsibilities:
• Build and deploy autonomous AI agents to automate experimental management, enabling researchers to query, summarize, and reason over complex datasets.
• Develop automated pipelines for eg. SEM (Scanning Electron Microscopy) and other characterization techniques to automate feature extraction (e.g., particle morphology, particle sizing, feature extraction, and defect detection).
• Data orchestration and optimization support for modeling teams with build and validate physics-based and ML- models (Transformers, GNNs) to predict battery performance.
• Design and optimize data pipelines capable of handling massive, high-frequency battery datasets (cycling, modeling) using advanced frameworks for out-of-memory processing.
• Support the development of backend pipelines, FastAPI tools, and internal dashboards (Hex, React,js) to bring AI-driven insights to a wider audience.
Qualifications:
Required:
• BSc (or preferably MSc/currently enrolled in a Ph.D. program) in Computer Science, Materials Science, or a related field.
• Mastery of Python scientific libraries (NumPy, SciPy, Pandas). Expert-level experience with high-performance frameworks like Polars, Vaex, or Dask for massive datasets.
• Experience building agentic workflows (e.g., LangGraph, CrewAI) and utilizing cloud-native AI functions such as Snowflake Cortex.
• Proficiency in OpenCV or deep learning-based image segmentation (e.g., SAM) for material characterization.
• Strong proficiency in building production-ready code, including K8s, Docker, and CI/CD pipelines.
• Basic understanding of Li-ion battery chemistry, materials processing, and electrochemical testing.
• Proficiency in using AI coding tools (e.g., Claude Code, Copilot) and Git-based collaboration.
Company:
We are Sila—a next generation battery materials company dedicated to accelerating energy transformation for a more sustainable future. Founded in 2011, the company is headquartered in Alameda, USA, with a team of 201-500 employees. The company is currently Growth Stage.