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Artificial Intelligence Machine Learning Internship Jobs in Seattle, WA

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our ...

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Artificial Intelligence Machine Learning Internship information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

How much do artificial intelligence machine learning internship jobs pay per year?

As of Aug 23, 2026, the average yearly pay for artificial intelligence machine learning internship in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning internship?

An Artificial Intelligence (AI) Machine Learning (ML) Internship is a temporary position designed for students or recent graduates to gain hands-on experience in AI and ML fields. Interns work on real-world projects involving data analysis, model development, and the application of machine learning algorithms under the guidance of experienced professionals. These internships help individuals develop practical skills, build a professional network, and improve their understanding of current technologies and tools used in AI and ML. Interns may also participate in research, code reviews, and present their findings. This experience is valuable for pursuing a career in data science, AI engineering, or related fields.

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

To thrive as an Artificial Intelligence Machine Learning Intern, you need foundational knowledge in computer science, statistics, and mathematics, often supported by coursework or a degree in a related field. Familiarity with programming languages like Python, machine learning libraries such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns excel in collaborative, fast-paced environments. These skills and qualities are essential to contribute meaningfully to projects, learn quickly, and adapt to evolving technological challenges.

What types of projects can an artificial intelligence machine learning intern expect to work on during their internship?

As an AI/ML intern, you can expect to work on a variety of projects such as data preprocessing, model development, and performance evaluation. Interns often assist in building and testing machine learning models, analyzing large datasets, and contributing to the improvement of existing algorithms. You may also collaborate closely with data scientists, engineers, and product teams to solve real-world problems and help integrate AI solutions into business processes. These experiences provide valuable exposure to both research and practical applications in the field.

What is the difference between Artificial Intelligence Machine Learning Internship vs Data Science Internship?

AspectArtificial Intelligence Machine Learning InternshipData Science Internship
Required CredentialsBasic programming, math, and AI/ML knowledgeStatistics, programming, and data analysis skills
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Employer & Industry UsageAI/ML-focused roles in tech and researchData analysis and insights across industries
Search & Comparison IntentUnderstanding AI/ML internship roles and skillsExploring data science internship opportunities

Artificial Intelligence Machine Learning internships focus on developing AI and ML models, requiring programming and math skills. Data Science internships emphasize analyzing data to generate insights, often involving statistics and data visualization. While both roles involve data and programming, AI/ML internships are more specialized in building intelligent systems, whereas Data Science internships focus on interpreting data for decision-making.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Seattle, WA?

The most popular types of Artificial Intelligence Machine Learning jobs in Seattle, WA are:

What are popular job titles related to Artificial Intelligence Machine Learning Internship jobs in Seattle, WA?

For Artificial Intelligence Machine Learning Internship jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Internship jobs in Seattle, WA look for?

The top searched job categories for Artificial Intelligence Machine Learning Internship jobs in Seattle, WA are:

Artificial Intelligence Machine Learning Internship jobs near you

Senior Artificial Intelligence (AI) Solutions Architect

Boeing

Seattle, WA • On-site

Full-time

Medical, Life, Retirement

Posted 4 days ago

Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 613 frontline employees who took The Breakroom Quiz

32nd of 544 rated manufacturers

Job description

Senior Artificial Intelligence (AI) Solutions Architect
Company:
The Boeing Company
The Boeing Company is looking for a highly experienced and detail-oriented Senior Artificial Intelligence (AI) Solutions Architect to join the team in Seattle, WA or Dallas, TX.
The Senior Artificial Intelligence (AI) Solution Architect, Boeing Global Services (BGS) Supply Chain will lead the end-to-end technical architecture for AI-enabled solutions across the BGS Supply Chain organization. This role is responsible for designing scalable, secure, and production-ready Artificial Intelligence (AI) solutions that span the full data and technology ecosystem, including on-premises and cloud environments.
This individual will work closely with business leaders, product managers, data engineers, data scientists, platform teams, and enterprise architecture to translate raw data and data products into AI capabilities such as machine learning, generative AI, Agentic AI, deep learning, decision intelligence, and advanced automation. The ideal candidate will bring deep technical expertise in enterprise architecture, data and AI platforms, and supply chain use cases, with the ability to design end-to-end solutions from data ingestion through modeling, ontology, orchestration, and front-end visualization.
Position Responsibilities:
  • Lead the architecture and design of end-to-end AI solutions supporting BGS Supply Chain business needs
  • Define solution architectures that integrate on-prem and cloud-based data, analytics, and AI capabilities into scalable enterprise patterns
  • Translate business requirements into technical designs for AI-enabled supply chain solutions
  • Architect the full solution lifecycle from raw data and governed data products through data modeling, ontology, AI model development, orchestration, and visualization
  • Design solutions using ML, Generative AI, Agentic AI, deep learning, optimization, and other advanced AI techniques as appropriate to the use case
  • Partner with supply chain business stakeholders to identify high-value use cases and shape feasible technical solutions
  • Collaborate with data engineers, data scientists, software engineers, platform architects, and product teams to ensure end-to-end solution integrity
  • Define solution patterns for data ingestion, transformation, semantic modeling, ontology design, AI model integration, workflow orchestration, and user experience delivery
  • Ensure solutions are scalable, maintainable, secure, and aligned to Boeing architecture, cyber, governance, and compliance standards
  • Evaluate technical tradeoffs across cloud, hybrid, and on-prem environments and recommend the best-fit architecture for business needs
  • Provide architectural guidance for AI product teams throughout design, build, testing, deployment, monitoring, and enhancement phases
  • Support the creation of reusable frameworks, reference architectures, and patterns for supply chain AI solutions
  • Work with front-end and product teams to ensure insights and AI outputs are delivered through intuitive interfaces, dashboards, copilots, or decision-support tools
  • Help define ontology and semantic layer approaches that improve usability, searchability, interoperability, and AI consumption of supply chain data
  • Participate in technical governance, design reviews, and architecture decision forums
  • Support production readiness, performance tuning, observability, and operational support for deployed AI solutions
  • Stay current on emerging AI technologies and recommend innovations that can improve supply chain performance and business value

Basic Qualifications (Requires Skill/Experience):
  • 10+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies, including the ability to integrate AI-driven insights into data architecture and analytics processes
  • 10+ years s of experience with Information Technology architecture including cloud and data architecture in a large-scale, hybrid cloud and on-prem environment
  • 10+ years of experience communicating with technical experts and explaining difficult technical concepts to non-technical business users
  • 10+ years of experience working across organizations and interfacing with key stakeholders, including senior leaders
  • 5+ years of experience designing, developing & optimizing AI/ML solutions, data science workflows, and analytics methodologies
  • 5+ years of experience with AI/ML and generative AI lifecycle concepts, including model development, evaluation, deployment, monitoring, change management, documentation, and data governance
  • 5+ years of experience designing, developing & optimizing AI/ML solutions, data science workflows, and analytics methodologies

Preferred Qualifications (Desired Skills/Experience)
  • Bachelor's degree or higher in computer science, engineering, information systems, data science, or related field
  • Experience architecting AI solutions for supply chain, logistics, inventory, planning, sourcing, or parts domains
  • Experience with ML platforms, Machine Leaning Operations (MLOps) Large Language Model (LLM) orchestration, vector databases, retrieval-augmented generation, and model lifecycle management
  • Experience designing semantic layers, ontologies, knowledge graphs, or enterprise data models
  • Experience with Agentic AI, workflow automation, or AI-based decision support solutions
  • Experience with data visualization tools, orchestration platforms, and front-end delivery patterns
  • Experience with enterprise data governance, cataloging, lineage, and security frameworks
  • Experience with event-driven architecture, API-based integration, and scalable cloud-native design
  • Strong understanding of data architecture, APIs, integration patterns, and production engineering concepts
  • Experience supporting industrial, aerospace, or similarly complex operational environments

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies.
Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $184,450 - $249,550
Language Requirements:
Not Applicable
Education:
Not Applicable
Relocation:
This position offers relocation based on candidate eligibility.
Export Control Requirement:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Safety Sensitive:
This is not a Safety Sensitive Position.
Security Clearance:
This position does not require a Security Clearance.
Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.
Contingent Upon Award Program
This position is not contingent upon program award
Shift:
Shift 1 (United States of America)
Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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About Boeing

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At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the sea bed to outer space, you'll learn and grow, contributing to work that shapes the world. Find your future with us.

Industry

Aviation and aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

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