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Teen Artificial Intelligence Engineer Jobs (NOW HIRING)

Artificial Intelligence Engineer

Irving, TX · On-site

$73K - $136K/yr

Overview How You'll Make an Impact As an AI Engineer, you will play a critical role in building and ... MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or ...

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

We are seeking an experienced Artificial Intelligence Engineer who specializes in delivering end-to-end AI solutions using Agentic AI frameworks and Generative AI technologies. This role demands ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

Description Position Summary The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on ...

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Teen Artificial Intelligence Engineer information

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$77K

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$121K

How much do teen artificial intelligence engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for teen artificial intelligence engineer in the United States is $94,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a teen artificial intelligence engineer?

Teen Artificial Intelligence Engineers are young individuals, typically in their teens, who develop skills in artificial intelligence (AI) and work on related projects. They may participate in AI clubs, competitions, internships, or personal projects to learn about machine learning, coding, and data analysis. While they might not be employed full-time, these teens often gain practical experience by building AI models, engaging in online courses, or collaborating with mentors. Their work helps them build a foundation for future careers in technology and computer science.

What are some common challenges teen artificial intelligence engineers face when working on real-world projects?

Teen artificial intelligence engineers often encounter challenges such as bridging the gap between theoretical knowledge and practical application. They may need to quickly learn new programming languages, collaborate with more experienced team members, and navigate version control systems or project management tools. Additionally, understanding how to preprocess and manage real-world data can be complex, requiring attention to data quality and ethical considerations. However, these challenges also offer valuable learning opportunities and can help teens develop strong problem-solving and teamwork skills essential for future growth.

What are the key skills and qualifications needed to thrive as a teen artificial intelligence engineer, and why are they important?

To thrive as a Teen Artificial Intelligence Engineer, you generally need a solid understanding of programming (such as Python), foundational mathematics (algebra, statistics), and a keen interest in AI concepts. Familiarity with tools like TensorFlow, PyTorch, and experience with online courses or certifications (such as from Coursera or Udemy) can be highly beneficial. Problem-solving ability, curiosity, and effective communication help you learn quickly and collaborate on projects. These skills and qualities are crucial for successfully building and understanding AI models and for ongoing growth in this rapidly evolving field.

What is the difference between Teen Artificial Intelligence Engineer vs Teen Data Scientist?

AspectTeen Artificial Intelligence EngineerTeen Data Scientist
Required CredentialsBasic programming skills, introductory AI coursesBasic programming, data analysis courses
Work EnvironmentDeveloping AI models, coding projectsAnalyzing datasets, creating reports
Industry UsageAI-focused projects in tech and educationData analysis across various sectors

Teen Artificial Intelligence Engineers focus on developing AI models and algorithms, often involving coding and machine learning. Teen Data Scientists analyze data sets to extract insights. While both roles require programming skills and are used in tech and education sectors, AI Engineers emphasize building intelligent systems, whereas Data Scientists focus on data analysis and interpretation.

What cities are hiring for Teen Artificial Intelligence Engineer jobs?

Cities with the most Teen Artificial Intelligence Engineer job openings:

What are the most commonly searched types of Teen Artificial Intelligence Engineer jobs?

The most popular types of Teen Artificial Intelligence Engineer jobs are:

Infographic showing various Teen Artificial Intelligence Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $94,162 per year, or $45.3 per hour.

$73K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Job description

Job Description

How You'll Make an ImpactAs an AI Engineer, you will play a critical role in building and scaling AI-powered capabilities that directly influence Epsilon's products, platforms, and client outcomes. You will work alongside product managers, platform engineers, and data teams to translate complex business problems into production-ready AI systems.This role offers the opportunity to work on high-impact initiatives including generative AI, agentic workflows, and intelligent automation, while contributing to Epsilon's broader goals of innovation, operational excellence, and data-driven decision making.

Responsibilities

What You'll Achieve

  • Design, develop, and deploy machine learning and AI models that are reliable, scalable, and production-ready
  • Contribute to the development of generative AI and LLM-based solutions using techniques such as prompt engineering, retrieval-augmented generation (RAG), and fine-tuning
  • Build and operate AI systems end-to-end, from experimentation and evaluation through deployment, monitoring, and iteration
  • Collaborate with cross-functional partners to embed AI capabilities into customer-facing products and internal platforms
  • Improve model performance, cost efficiency, and reliability through experimentation, tuning, and observability
  • Help establish and evolve best practices for AI engineering, MLOps, and responsible AI within the organization
  • Grow technically through exposure to modern AI frameworks, cloud-based ML platforms, and real-world enterprise use cases
Qualifications

Who You Are

  • What You'll Bring With You
    • 4+ years of experience building machine learning or AI-driven systems in real-world production environments
    • Strong foundations in machine learning, statistics, data structures, and software engineering
    • Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX
    • Proficiency in Python and experience applying production-grade engineering practices
    • Familiarity with cloud environments (AWS, Azure, or GCP) and deploying services at scale
    • Ability to work across the full AI lifecycle-from data exploration and modeling to deployment and monitoring
    • Strong problem-solving skills and comfort operating in ambiguous or evolving problem spaces
  • Why You Might Stand Out From Other Talent
    • Experience working with large language models (LLMs), generative AI systems, or agent-based architectures
    • Exposure to RAG pipelines, evaluation frameworks, or fine-tuning foundation models
    • Familiarity with MLOps tooling, CI/CD pipelines, model monitoring, or feature stores
    • Experience collaborating closely with product and platform teams on customer-facing AI features
    • MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent practical experience)

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.

Base Salary:  $73,500.00 - $136,500.00

Actual compensation within the range will be dependent upon, but not limited to the individual's skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time.

The application deadline for this job posting is 06/17/2026.

Additional Information

When You Join Us, We'll Create Something EPIC TogetherEpsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

  • People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
  • Collaboration: We work together, support one another, and collectively achieve goals.
  • Growth: There are endless opportunities for growth through learning, development and career advancement.
  • Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
  • Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

  • Act with integrity
  • Work together to win together
  • Innovate with purpose
  • Respect all voices
  • Empower with accountability

These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.

Because You Matter

As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first.  Our benefits encompass a wide range of offerings, including but not limited to the following:  

  • Time to Recharge: Flexible time off (FTO), 15 paid holidays
  • Time to Recover: Paid sick time  
  • Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance  
  • Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling  

Epsilon benefits are subject to eligibility requirements and other terms. Epsilon is an Equal Opportunity Employer.  Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.

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 Compensation Range: USD $73,500.00 - USD $136,500.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/30/2026.Employment Type: FULL_TIME