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Artificial Intelligence Developer Intern Jobs in Portland, OR

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Frontend Engineer, Kiro

Portland, OR · On-site

AWS is building Kiro -a frontier Developer Tool that independently tackles development tasks ... About the team Agentic AI Agentic AI drives innovation at the forefront of artificial intelligence ...

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How much do artificial intelligence developer intern jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for artificial intelligence developer intern in Portland, OR is $24.28, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $25.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an artificial intelligence developer intern?

To thrive as an Artificial Intelligence Developer Intern, you need a solid foundation in programming (especially Python), mathematics (linear algebra, probability, statistics), and basic AI/ML concepts, typically supported by coursework or relevant project experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is highly valuable. Curiosity, problem-solving skills, and effective communication help interns learn quickly, collaborate with teams, and present technical concepts clearly. These skills are essential for contributing meaningfully to projects, adapting to new challenges, and growing within the fast-evolving AI field.

What does an artificial intelligence developer intern do?

An Artificial Intelligence Developer Intern assists in designing, developing, and testing AI models and applications under the supervision of experienced engineers. Their tasks often include data preprocessing, algorithm implementation, model training, and performance evaluation. Interns may work with technologies such as machine learning, natural language processing, or computer vision, depending on the organization's focus. The internship provides hands-on experience with real-world AI projects and helps interns gain practical skills for a future career in artificial intelligence.

Is an artificial intelligence developer intern worth it?

An artificial intelligence developer intern position provides hands-on experience with AI algorithms, programming languages like Python, and tools such as TensorFlow or PyTorch. It can enhance skills, build a professional portfolio, and improve job prospects in the AI field, making it a valuable opportunity for aspiring developers.

What types of projects and responsibilities can an artificial intelligence developer intern expect to work on during their internship?

As an Artificial Intelligence Developer Intern, you can expect to assist with data preprocessing, model training, and algorithm development for projects involving machine learning or deep learning. Typical responsibilities may include collaborating with senior engineers on experimental model design, preparing datasets, and evaluating model performance. Interns often participate in code reviews and team meetings, gaining hands-on experience with real-world AI applications. This role provides valuable exposure to industry-standard tools and the opportunity to contribute to impactful projects, which is beneficial for future career growth.
Artificial Intelligence Developer Intern jobs near you

Yield Development Engineering Manager-Strategic Programs

INTEL

Lafayette, OR

$131K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers

Job description

Job Description

The Role and Impact
We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment.


You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity.


As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations.
Key Responsibilities
Strategic Leadership and Transformation:

  • Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows.

  • Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems.

  • Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites.

AI-Driven Productivity and Decision Intelligence:

  • Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis.

  • Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems.

  • Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations.

Operational Excellence and Yield Performance:

  • Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets.

  • Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply.

  • Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence.

Defect Metrology and Systems Leadership:

  • Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture.

  • Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation.

  • Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements

Program Execution and Stakeholder Influence:

  • Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams.

  • Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution.

  • Influence senior stakeholders and executives to align investments, priorities, and organizational focus.

Organization and Talent Leadership:

  • Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning.

  • Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency.

  • Champion a shift from individual based to scalable, system-driven excellence.


Qualifications
Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Other Locations
US, Phoenix
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00
*Salary range dependent on a number of factors including location and experience
Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
Position of Trust
This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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