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Ai Ml Engineer Intern Jobs (NOW HIRING)

HCL Global Systems Inc

AI/ML Engineer

Malvern, PA · On-site

They are seeking an AI/ML Engineer to implement agentic frameworks, develop generative AI applications, and manage AWS ML engineering tasks to support scalable and efficient data pipelines.

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

AI/ML Engineer Location : Remote We are currently seeking candidates who meet the following qualifications. Key Responsibilities * Develop, train, and deploy machine learning and deep learning models ...

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

$111K - $153K/yr

Information Technology & Services Position Overview Carter Support Services is seeking a highly experienced Senior AI/ML Engineer to design, develop, and deploy advanced AI solutions. This role ...

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing ...

Prophecy Technologies

AI/ML Engineer

Hartford, CT · On-site

We are seeking an AI/ML Engineer with hands-on experience building, fine-tuning, and deploying LLM-based solutions. This role involves working on Natural Language Processing (NLP) and Generative AI ...

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

Information Technology & ServicesPosition Overview Carter Support Services is seeking a highly experienced Senior AI/ML Engineer to design, develop, and deploy advanced AI solutions. This role ...

Purple Drive

AI/ML Engineer

Atlanta, GA

$110K - $132K/yr

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop ...

System One

AI/ML Engineer

Mclean, VA · Remote

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be able to obtain and maintain a Federal or DoD Public Trust Position Overview ...

Hop

AI/ML Engineer

San Francisco, CA · On-site

They are seeking an AI/ML Engineer to build and maintain production-grade LLM pipelines, design RAG architectures, and integrate AI features into large-scale data pipelines. Responsibilities : • ...

Noblesoft Technologies

AI/ML Engineer

Minneapolis, MN · Remote

$106K - $131K/yr

AI/ML Engineer Location: Minneapolis, MN(Remote) 1. Design, develop, test, document, and deploy Salesforce solutions based on business needs. 2. Develop and deploy AI/ML models for real-time decision ...

System One

AI/ML Engineer

Mclean, VA · Remote

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be able to obtain and maintain a Federal or DoD Public Trust Position Overview ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

AI/ML Engineer Location: Phoenix, AZ Experience Level: 8+ years Rate: We are seeking a highly skilled AI/ML Engineer to join our team. The ideal candidate will have extensive experience in designing ...

Tech Tammina LLC

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer Location: Reston VA Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training ...

Vultus Inc

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

AI/ML Engineer Experience: 4-7 Years Job Type: Full-Time Location: Remote / Hybrid / Onsite Department: Engineering Job Summary We are looking for a skilled AI/ML Engineer to design, develop, and ...

Judge Group, Inc.

Principal AI/ML Engineer

Englewood, CO · On-site

$75 - $80.15/hr

Principal AI/ML Engineer Location: Englewood, CO Duration: 6 Months Temp to Hire Pay: $80.15/hr. on W2 Job Summary We are seeking a highly experienced Principal AI/ML Engineer to lead the technical ...

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

540 is seeking a Senior AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will lead the design and evolution of production AI/ML services and ...

Omega Hires

AI/ML Engineer

Manhattan, NY · On-site

$114K - $141K/yr

We are hiring an AI/ML Engineer to design, build, and operate assistive AI/ML capabilities for a regulated provider enrollment and management platform. The product supports provider enrollment ...

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Ai Ml Engineer Intern information

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How much do ai ml engineer intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for ai ml 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 the key skills and qualifications needed to thrive as an AI ML engineer intern, and why are they important?

To thrive as an AI/ML Engineer Intern, you generally need a solid foundation in computer science, mathematics (especially linear algebra and statistics), and experience with machine learning concepts, often supported by coursework or project experience. Familiarity with programming languages like Python, libraries such as TensorFlow or PyTorch, and version control systems like Git is typically required. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative and fast-evolving environments. These skills and qualities are crucial for contributing to real-world AI/ML projects and adapting to new challenges in the field.

What does an AI ML engineer intern do?

An AI/ML Engineer Intern assists in building, testing, and improving machine learning models and artificial intelligence systems under the supervision of senior engineers. Their tasks often include data preprocessing, exploring datasets, implementing algorithms, and helping integrate AI solutions into existing applications. Interns may also collaborate on research, contribute to documentation, and support the overall development workflow. This role provides hands-on experience in coding, model evaluation, and understanding real-world challenges in AI/ML projects.

What are some common challenges AI ML engineer interns face during their internship, and how can they overcome them?

AI/ML Engineer Interns often encounter challenges such as understanding large, complex datasets, adapting to new frameworks or tools quickly, and translating theoretical concepts into practical solutions. It's common to feel overwhelmed by the fast-paced environment and the need to collaborate with cross-functional teams. To overcome these challenges, interns should proactively seek guidance from mentors, break down tasks into manageable steps, and participate in regular code reviews to learn best practices. Staying curious and open to feedback will help interns grow their technical and teamwork skills throughout the internship.

What is the difference between Ai Ml Engineer Intern vs Data Scientist Intern?

AspectAi Ml Engineer InternData Scientist Intern
Required SkillsProgramming (Python, TensorFlow), Machine Learning, Data AnalysisStatistics, Data Analysis, Programming (Python, R)
Work EnvironmentDevelopment, Model Building, Algorithm ImplementationData Exploration, Statistical Modeling, Data Visualization
Industry UsageAI/ML product development, research, tech companiesBusiness analytics, research, tech and finance sectors

Both roles often require programming skills and familiarity with data analysis tools. An Ai Ml Engineer Intern focuses more on developing machine learning models and algorithms, while a Data Scientist Intern emphasizes data exploration and statistical analysis. The choice depends on your interest in model development versus data insights.

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Ai Ml Engineer Intern jobs near you
Infographic showing various Ai Ml Engineer Intern job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

AI/ML Engineer

Texas Instruments Incorporated

Richardson, TX • On-site

Other

Posted 20 days ago

Texas Instruments rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

49th of 156 rated electronics manufacturers

Job description


Change the world. Love your job.
The Smart Manufacturing and Automation team at Texas Instruments develops analytics solutions to address challenges faced by manufacturing and engineering teams. As a global organization, we strive to create solutions that are compatible with all TI sites. We're looking for candidates to join our team in Richardson, TX as we leverage modern technologies to deliver data, analytics and AI solutions that enhance quality and productivity in semiconductor manufacturing.
About the job:
Texas Instruments is looking for a Sr. AI/ML engineer who is experienced with developing and deploying AI/ML solutions at scale. This role is critical to accelerating our digital transformation through rapid development of quality and test solutions using cutting-edge development techniques. The position offers the opportunity to revolutionize how our Smart Manufacturing and Automation team builds software while establishing best practices and scaling development capabilities across the organization.
We're seeking a Machine Learning Engineer with solid foundational expertise to develop and deploy intelligent solutions across our smart manufacturing platform. What sets this role apart: you'll leverage cutting-edge AI-assisted development platforms -Claude Code, GitHub Copilot, Cursor, and emerging agentic framework-to dramatically accelerate your development velocity while building production-grade ML systems. You'll collaborate with senior engineers and cross-functional teams to translate manufacturing challenges into scalable ML applications that directly impact manufacturing quality and test operations. This role emphasizes hands-on execution, rapid iteration, and learning: you'll build features that matter while growing your expertise in both ML engineering and AI-amplified development practices.
Key Responsibilities
  • Develop ML pipelines - implement end-to-end ML workflows combining structured and unstructured data; build data modeling for MFG data correlation inline and end of line data, feature engineering, training, and inference pipelines under technical guidance
  • Work with GenAI & LLMs - contribute to LLM-based features including RAG systems, prompt engineering, and agentic workflows; experiment with different approaches and document learnings
  • Collaborate on data architecture - work with data engineers to design and optimize data pipelines across our database systems; understand trade-offs between different storage architectures; integrate structured and unstructured data sources
  • Build and prototype solutions - develop POCs for manufacturing problems; translate requirements into ML experiments; contribute to productionization of models with appropriate monitoring and testing
  • Deploy and monitor models - participate in end-to-end deployment; own model monitoring, retraining pipelines, and performance tracking; troubleshoot production issues with senior engineers
  • Write quality code - develop production-ready code with testing and documentation; follow Git workflows, JIRA tracking, and agile practices; participate in code reviews and learn from feedback

Qualifications
Minimum Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Computer Graphics Technology, Electrical Engineering, Computer Engineering or related field of study
  • 5+ years of AI/ML experience - proven experience developing and deploying ML solutions with measurable impact
  • Computer Vision basics - working knowledge of image processing and computer vision techniques (classification, detection, or anomaly detection); experience with at least one CV framework
  • Generative AI exposure - hands-on experience with LLMs, prompt engineering, or RAG systems; familiarity with OpenAI, Anthropic, or similar APIs; curiosity about multi-agent systems
  • Database & data pipeline knowledge - working familiarity with relational and NoSQL databases; experience building or optimizing data pipelines; understanding of structured vs. unstructured data handling
  • Software engineering practices - proficiency with Git/GitHub, JIRA, issue tracking; ability to write clean, testable Python code; familiarity with agile development and CI/CD concepts

Preferred Qualifications:
  • Smart Manufacturing- prior work with IoT, manufacturing execution systems (MES), or connected factory environments
  • Advanced AI/ML capabilities - experience building with LLMs or generative AI APIs; familiar with prompt engineering and AI workflow optimization
  • Manufacturing or industrial domain exposure - familiarity with manufacturing environments, IoT systems, or operational processes; any exposure to semiconductor or discrete manufacturing
  • Production ML experience - experience deploying models to production; understanding of model versioning, monitoring, or retraining pipelines
  • DevOps & containerization - hands-on experience with Docker, Kubernetes, or cloud deployment (AWS, Google Cloud Platform, Azure); basic CI/CD pipeline knowledge
  • Multi-agent or advanced GenAI projects - exposure to agent frameworks, LangChain, or similar tools; experience with more complex LLM workflows beyond single-turn prompts

About Us
Why TI?
  • Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
  • We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
  • Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here

About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.
If you are interested in this position, please apply to this requisition.
About the Team
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

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About Texas Instruments

Sourced by ZipRecruiter

As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.

Industry

Semiconductor and electronic component manufacturing

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1930

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