459 Artificial Intelligence jobs in Seattle

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit of thinking in a cloud-enabled world. 
The mission of Learning Product Team in Worldwide Learning (WWL) - is to **_develop world-class, innovative Skilling Products & Experiences that inspire customers, partners, Microsoft Customer and Partner Soultions (MCAPS) sellers, and future generations to achieve more by skilling, upskilling, and reskilling, thereby reaching 100M+ learners._** Our culture is cantered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to drive impact each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
Within Learning Product Engineering Team, we develop enterprise-grade platforms and features impacting millions of learners around the world who rely on Microsoft Skilling platforms for consuming the learning and skilling content across various across platforms.
This is an exciting time to join our group, Worldwide Learning Product Engineering (LPE), and be aligned to strategic to Microsoft as a Software Engineer. The goal of LPE is to build the next generation of Skilling platforms and applications running on Microsoft stack like Dynamics 365, Artifical Intelligence (AI), Copilot, and several other Microsoft cloud services to deliver value, complete, and Copilot-enabled application scenarios across all devices and form factors for our Commercial, Consumer and NextGen Learners. We innovate quickly and collaborate closely with our partners and customers in an agile, energetic environment. Leveraging the scalability and value from Azure, we ensure our solutions are robust and efficient. For instance, we will need to modernize Skilling content operations and reimagine release & update at scale to enable more efficient ways of consumption across Learn, YouTube, LinkedIn, Instagram and various other learning channels which will require deeper AI and Machine Learning (ML) skills.
The Agentic AI Workforce team is a specialized group within the LPE organization, dedicated to designing, deploying, and maintaining AI agents that enhance both learning platform experiences and business planning operations. This team will serve as a central hub for innovation in agentic automation, enabling scalable, intelligent support across a range of enterprise scenarios. By integrating advanced AI capabilities into learning journeys and planning workflows, the team will empower users with personalized, context-aware assistance while driving operational efficiency and strategic insight across the organization.
We are seeking an AI & ML Software Engineer to join our Agentic AI Workforce team. This **Software Engineer - Artificial Intelligence** (AI) is someone with knowledge in Long-Language Model (LLM) integration, agent orchestration and supporting Azure services. They will lead the development of intelligent agents that power adaptive learning experiences and support business planning workflows. They will be responsible for designing scalable AI pipelines, integrating with enterprise data sources, and ensuring robust performance and security. This role also involves close collaboration with cross-functional teams and mentoring peers to drive innovation in agentic automation.
If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve problems for large scale enterprise business scenarios excite you, please come and talk to us!   
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ **Scalable Model Deployment & Optimization**
+ Build and deploy ML models and agentic systems in Azure cloud environments, ensuring seamless integration with enterprise platforms and services.
+ Optimize models for inference speed and resource efficiency using techniques such as quantization, pruning, distillation, and hardware acceleration (e.g., GPUs, TPUs).
+ Implement robust A/B testing, model evaluation, and hyperparameter tuning pipelines to drive continuous performance improvement.
+ **Architecture & Automation**
+ Design scalable agentic architectures that support real-time inference, batch processing, and hybrid workflows.
+ Develop automated pipelines for data ingestion, preprocessing, feature engineering, model training, and deployment with an emphasis on reproducibility and traceability.
+ Enable continuous learning and experimentation through efficient retraining, model versioning, and deployment automation.
+ **Agent Protocols, Governance & Compliance**
+ Design and implement multi-agent communication protocols (e.g., MCP) to support coordination, task delegation, and stateful interactions between AI agents.
+ Ensure all AI systems adhere to responsible AI principles, including fairness, transparency, and privacy-preserving practices.
+ Establish monitoring and governance frameworks for model drift detection, performance tracking, and secure deployment.
+ **Agent Lifecycle Management**
+ Define and implement lifecycle management strategies for AI agents, including provisioning, monitoring, updating, and decommissioning.
+ Establish observability practices for agent behavior, including logging, tracing, and performance metrics.
+ **Human-AI Interaction & UX Alignment**
+ Partner with UX designers and product teams to ensure AI agent interactions are intuitive, transparent, and aligned with user expectations.
+ Contribute to the design of feedback loops that allow users to correct or guide agent behavior, improving learning and trust over time.
+ **Knowledge Management & Retrieval**
+ Develop and maintain retrieval-augmented generation (RAG) pipelines that allow agents to access and reason over enterprise knowledge bases.
+ Implement vector search, embedding strategies, and document chunking techniques to optimize information retrieval for agentic tasks.
+ **Cross-Functional Collaboration & AI Strategy**
+ Collaborate with full stack and Power Platform engineers to integrate AI agents into learning platforms and business planning tools.
+ Partner with product managers and business stakeholders to align AI initiatives with strategic goals and user needs.
+ Influence the AI roadmap by evaluating emerging technologies and advocating for scalable, impactful solutions.
+ **Research, Innovation & AI Thought Leadership**
+ Stay current with advancements in AI, including LLMs, multimodal learning, and agentic frameworks.
+ Lead proof-of-concept initiatives to evaluate new technologies and assess their applicability to enterprise use cases.
+ Contribute to the broader AI community through publications, conference participation, and open-source contributions. 
+ **Mentorship & AI Talent Development**
+ Mentor earlier in career and mid-level engineers, fostering a culture of innovation, experimentation, and continuous learning.
+ Lead technical reviews, architecture discussions, and knowledge-sharing sessions to elevate team capabilities.
+ Identify skill gaps and support internal learning initiatives to ensure the team remains at the forefront of AI innovation.
+ **Other**
+ Embody our Culture (  and Values ( . 
**Qualifications**
**Required/minimum qualifications**
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
+ 1+ years experience within AI knowledge. Specifically theoretical and practical knowledge of LLMs, Retrieval Augmented Generation (RAG) pipelines and agent orchestration frameworks.
+ 2+ years experience within programming & development: proficiency in Python and command of related libraries and frameworks such as TensorFlow, PyTorch,, Scikit-Learn, Hugging Face Transformers, LangChain, and similar. 
+ 2+ years experience within model deployment & operations: experience deploying agents in Azure cloud environments, with familiarity in containerization, continuous integration/continuous development pipelines and model monitoring. 
**Preferred Qualifications**
+ Advanced Degree: in Machine Learning, AI or a related field.
+ 1+ years experience within agent communication & protocols: Experience designing and implementing multi-agent systems using communication protocols such as MCP or similar. Ability to structure agent interactions, manage stateful dialogs, and coordinate task execution across distributed AI agents in enterprise environments.
+ 3+ years experience within data handling & feature development: Experience in handling large-scale structured and unstructured datasets, including time-series and text data, and applying advanced feature engineering techniques. 
+ 3+ years experience cross-functional collaboration: Ability to partner with software engineers, product managers, and business stakeholders to translate business needs into AI-driven solutions. 
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $99,000 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 131,400 - 215,400 per year.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD 119,800 - 234,700 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 158,400 - 258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications and processes offers for these roles on an ongoing basis.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Microsoft for Startups adopts a comprehensive approach to fostering success, partnering with venture capitalists and accelerators to identify and support the most promising startups. By working closely with startup leaders, we empower them to leverage Microsoft's extensive resources and global B2B market reach.
As a Senior Artificial Intelligence Advisor, your role will involve collaborating with early-stage startups backed by our strategic partners, helping them build and innovate more efficiently using Microsoft's AI technology stack. Acting as a technical advisor and hands-on architect, you will enable these startups to accelerate their product development and go-to-market strategies by harnessing Azure AI technologies and tools.
In addition to these responsibilities, the individual in this role will partner internally with Microsoft product, engineering, and advocacy teams to amplify the voice of startups. This collaboration will influence the creation of content and shape product roadmaps, ensuring that the Microsoft ecosystem evolves to meet the dynamic and fast-paced needs of startups navigating their growth trajectories.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Design and deliver AI-powered solutions using Azure AI services (e.g., AI Foundry, Azure OpenAI, Speech, Cognitive Services and Responsible AI).
+ Collaborate with startup founders and engineering teams to understand their product vision and translate it into scalable cloud-native AI architectures.
+ Lead workshops, design sessions, and build proofs-of-concept (PoC) to demonstrate the value of AI and cloud services in startup scenarios.
+ Work closely with Microsoft for Startups technical enablement and go-to-market teams and Microsoft product and engineering to align startup needs with Microsoft's AI and cloud strategy.
+ Represent Microsoft for Startups at regional startup events. Develop and present relevant technical and industry related content and present to large and small audiences.
+ Leverages development opportunities (e.g., mentorships, role-based resources, trainings, internal events such as Build) to learn new technologies and startup ecosystem trends and share learnings internally and externally.
+ Shares ideas, insights, and technical input with team members using a working knowledge of specific Microsoft products and programs.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 4+ years experience in technical architect, technical consulting, design and implementation, and/or technical sales with at least 2 years focused on AI/ML solutions.
+ 1+ year(s) deep expertise in Azure AI services and familiarity with open-source AI/ML frameworks.
+ 1+ year(s) strong programming skills in Python and/or JavaScript, with experience building and deploying AI models.
+ 1+ years(s) proven track record of working with startups or fast-paced product teams.
**Other Requirements:**
+ Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
+ Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ Bachelor's degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in a technical architect, consulting, design and implementation, and/or sales with at least 4+ years focused on AI/ML solutions.
+ 2+ years experience working in a customer-facing role (e.g., internal and/or external).
+ 1+ year(s) experience mentoring or advising startup teams on technical strategy.
Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $34,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 158,400 - 258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications for the role until October 16, 2025.
#azurecorejobs
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

The AI Interaction and Learning team in Microsoft Research advances research on collaborative AI systems, where humans and AI agents work together to achieve outcomes that exceed what either could accomplish alone. We work closely with product teams deploying copilots, ensuring that our research both addresses the challenges of large-scale, real-world AI systems. Our mission is to move beyond individual assistance toward joint optimization at the group level, creating collaborative AI systems that enhance collective intelligence.
We are looking for a **Principal Researcher** with a passion for pushing the boundaries of learning and reasoning with foundation models, and with a proven ability to conduct impactful independent research. In this role, you will develop innovative Artificial Intelligence/Machine Learning (AI/ML) techniques, shape and advance the team's research agenda, and collaborate widely across the organization.
We are particularly interested in candidates who are passionate about the challenges of developing large-scale, real-world AI systems, including:
+ Designing metrics and reward mechanisms to adaptively align to evolving goals.
+ Developing algorithms for eliciting preferences and making decisions under uncertainty.
+ Managing information flow across groups and organizations to support shared understanding and effective coordination.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
**Responsibilities**
As a Principal Researcher at Microsoft Research, you will undertake cutting-edge research in collaboration with other researchers, engineers, and product groups. Specifically, you will:
+ Identify and articulate problems that are academically novel and may directly/indirectlyimpact business opportunities.
+ Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.
+ Advance a research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data.
+ Develop and deploy computing technologies that uphold trustworthiness, robustness, privacy, values, and ethical considerations.
+ Collaborate with other relevant researchers or groups to advance a research agenda.
+ Embody our culture ( and values ( .
**Qualifications**
**Required Qualifications:**
+ PhD in Computer Science or related fieldAND 3+ years related research experience
+ OR equivalent experience.
+ Experience in one or more of the following areas: Foundation Models, Reinforcement Learning, Multi-Objective Optimization, Natural Language Processing, Deep Learning, Interactive Learning, Artificial Intelligence.
**Preferred Qualifications:**
+ PhD in relevant field AND 4+ years related research experience.
+ Research ability demonstrated by an established publication record in top-tier venues (NeurIPS, COLM, ICLR).
+ Demonstrable ability to develop/shape original research agendas.
+ Ability to work collaboratively in a multi-disciplinary team.
+ Proficient oral and written communication skills.
+ Passion for AI research.
Research Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $74,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 188,000 - 304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications and processes offers for these roles on an ongoing basis.
#Research
#MSRR
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

The AI Interaction and Learning team in Microsoft Research advances research on collaborative AI systems, where humans and AI agents work together to achieve outcomes that exceed what either could accomplish alone. We work closely with product teams deploying copilots, ensuring that our research both addresses the challenges of large-scale, real-world AI systems. Our mission is to move beyond individual assistance toward joint optimization at the group level, creating collaborative AI systems that enhance collective intelligence.
We are looking for a **Senior R** **esearcher** with a passion for pushing the boundaries of learning and reasoning with foundation models, and with a proven ability to conduct impactful independent research. In this role, you will develop innovative Artificial Intelligence/Machine Learning (AI/ML) techniques, shape and advance the team's research agenda, and collaborate widely across the organization.
We are particularly interested in candidates who are passionate about the challenges of developing large-scale, real-world AI systems, including:
+ Designing metrics and reward mechanisms to adaptively align to evolving goals.
+ Developing algorithms for eliciting preferences and making decisions under uncertainty.
+ Managing information flow across groups and organizations to support shared understanding and effective coordination.
**Responsibilities**
As a **Senior R** **esearcher** at Microsoft Research, you will undertake cutting-edge research in collaboration with other researchers, engineers, and product groups. Specifically, you will:
+ Identify and articulate problems that are academically novel and may directly/indirectlyimpact business opportunities.
+ Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.
+ Advance a research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data.
+ Develop and deploy computing technologies that uphold trustworthiness, robustness, privacy, values, and ethical considerations.
+ Collaborate with other relevant researchers or groups to advance a research agenda.
**Qualifications**
**Required** **Q** **ualifications:**
+ PhD in Computer Science or related field (completed or close to completion by the start date).
+ Experience in one or more of the following areas: Foundation Models, Reinforcement Learning, Multi-Objective Optimization, Natural Language Processing, Deep Learning, Interactive Learning, Artificial Intelligence.
**Pref** **erred** **Qualifications:**
+ PhD in relevant field AND 2+ years related research experience.
+ Research ability demonstrated by an established publication record in top-tier venues (NeurIPS, COLM, ICLR)
+ Demonstrable ability to develop/shape original research agendas.
+ Ability to work collaboratively in a multi-disciplinary team.
+ Proficient oral and written communication skills.
+ Passion for AI research.
Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $34,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 158,400 - 258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications and processes offers for these roles on an ongoing basis.
#MSRR #Research
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Our client, a highly reputable university, is seeking an enthusiastic and research-active Assistant Professor specializing in Computer Science with a focus on Artificial Intelligence to join their esteemed faculty in **Seattle, Washington, US**. This tenure-track position offers an exceptional opportunity to conduct cutting-edge research, teach undergraduate and graduate courses, and contribute to the vibrant academic community. You will inspire the next generation of computer scientists and make significant contributions to the field of AI.

Responsibilities:

• Conduct high-quality, original research in Artificial Intelligence, machine learning, data science, or related areas, leading to publications in top-tier conferences and journals.
• Teach undergraduate and graduate courses in computer science, with an emphasis on AI, machine learning, algorithms, and programming.
• Develop and update course materials, syllabi, and assignments to reflect current research trends and industry demands.
• Mentor and advise undergraduate and graduate students on research projects, theses, and dissertations.
• Supervise student research assistants and foster a collaborative research environment.
• Actively participate in departmental and university service, including committee work, curriculum development, and faculty governance.
• Seek external funding through grants and fellowships to support research activities.
• Collaborate with faculty members across disciplines on interdisciplinary research initiatives.
• Contribute to the growth and reputation of the Computer Science department and the university.
• Stay current with advancements in AI and related fields through continuous learning and professional development.
• Present research findings at academic conferences and workshops.
• Engage with the broader AI research community and industry partners.
• Contribute to the university's mission of academic excellence and innovation.

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, or a closely related field.
• A strong record of research publications in reputable AI venues (e.g., NeurIPS, ICML, AAAI, CVPR).
• Demonstrated potential for securing external research funding.
• Excellent teaching skills with the ability to engage diverse student populations.
• Strong background in core computer science principles and programming languages (e.g., Python, C++).
• Familiarity with various AI subfields, including but not limited to machine learning, deep learning, natural language processing, computer vision, and robotics.
• Excellent written and verbal communication skills.
• Ability to work collaboratively within a university setting.
• Commitment to fostering an inclusive and diverse academic environment.
• Willingness to engage in hybrid work arrangements, balancing in-person teaching and research with remote collaboration.

This tenure-track position in **Seattle, Washington, US**, represents an outstanding opportunity for an early-career researcher and educator to build a successful academic career at a leading institution.

**Job Description**
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you'll learn and grow, contributing to work that shapes the world. Find your future with us.
As an intern at Boeing, you'll gain hands-on experience, learn from experts, and collaborate with teams that do truly amazing things.
Over the course of our 10-12 week internship experience you will have the opportunity to:
+ Work directly with a mentor in your field of study while finding solutions to real world problems
+ Experience our products up close by touring our state-of-the-art manufacturing and research facilities
+ Interact directly with our company leaders to discuss strategy and the future of Boeing
+ Build a lasting professional network through social events and engaging activities
+ Gain the skills and knowledge to become a future leader in the aerospace industry
Join our exclusive **Graduate Researcher Program (GRP)** in Boeing Technology Innovation during the Summer of 2026 and you can build something better for yourself, for our customers and for the world. Boeing Technology Innovation is Boeing's global research and development team creating and implementing innovative technologies that make the impossible possible and enable the future of aerospace. We are engineers, skilled scientists, thinkers, bold innovators and dreamers.
**What is Graduate Researcher Program?**
The GRP (Graduate Researcher Program) is a unique 10-12 week internship program designed specifically for students pursuing their PhD. GRP is a hybrid experience of real-world industry work experience combined with development programming that exposes students to Boeing, its products, services and its people. GRP focuses on deeply connecting students to their team and Boeing through work experience across multiple summers with the goal of ultimately offering a full-time position at the conclusion of academic studies if a mutual fit is achieved.
**How GRP Works** :
GRP host teams post opportunities aligned with Boeing needs in hopes of matching to top PhD talent. Upon application and selection, successful applicants receive an offer to spend the following summer with the host team. The program aims to provide interns with a valuable opportunity to gain deeper experience at Boeing with their host team, while applying academic skills and expertise to help solve real-world industry challenges and opportunities.
In addition to industry work exposure, students will attend GRP programming to further broaden their experience and knowledge of Boeing. GRP programming includes: mentorship in your field of study, weekly _Featured Speaker Talks_ , a week-long in-person _GRP Summit_ , participation in an _Innovation Challenge_ , and other opportunities to interact and build a professional network with other GRP students, Boeing team members, and leadership.
Please note: The work you do at Boeing can be related to your area of study, but _cannot_ contribute or be used in your PhD thesis.
**Who we are looking for** :
We are seeking students who will have completed their first year of study in their PhD program by July 2026 and are passionate about the aerospace industry and Boeing. GRP students excel at quickly adapting to their roles, analyzing complex problems, and developing innovative solutions. They thrive in collaborative team environments and possess excellent communication skills. Above all, they are driven to contribute to the success of their team, fellow GRP students, and Boeing.
**2026 GRP Position** :
The Boeing AI organization provides innovative AI technologies that enable the development of future aerospace solutions while improving the cycle time, cost, quality and performance of existing Boeing products and services.
Employees work in a dynamic and distributed environment where the initiative and contribution of each team member is critical to success. The ideal candidate will be able to work independently and as part of a distributed (and international) team. Many projects are multi-year and end with the successful transition and integration of new capabilities to Boeing end-product deployment. Project work can be funded by Independent Research and Development, Contracted Research and Development, or support to an internal Business Unit.
A successful candidate will be a highly motivated Artificial Intelligence Software Engineer with software development, AI application, and machine learning knowledge. They will have experience with Generative AI, native mobile application (iOS/Android), and web-based solution development in an agile environment. They will participate in the research and development as well as the rapid prototyping of advanced computing technologies for aerospace products and services.
They will be comfortable in taking initiative, learning by experience, possess an interest in personal learning, seek feedback from others, and create innovative ideas. They will get great satisfaction in applying and engineering solutions that will work in the real world. This job will be located in Tukwila WA.
**This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.**
**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.**
**Employer will not sponsor applicants for employment visa status.**
**Basic Qualifications (Required Skill/Experience):**
+ Completed the first year of PhD studies by July 2026
+ Pursing a PhD in Data Science, Applied Math, Software Engineering or similar
+ Experience preparing data for, developing and evaluating learned models
+ Experience with programming languages and data tools such as Python, Matlab, C++, C or Java as well as SQL, Teradata, Tableau, Gephi or Airflow.
+ Enrolled student attending a college or university with an expected graduation date on or after August 2026
+ Ability to work full-time for 10-12 weeks during Summer 2026
**Preferred Qualifications** :
+ 1+ years relevant experience including jobs, internships, and assistantships
+ Experience with Machine Learning development and deployment pipeline, i.e. from data to model
+ Experience with Agile methodology and repositories, such as ADO, JIRA and Git
**Drug Free Workplace:**
Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
**Union:**
This is a union-represented position.
**Shift:**
This role is primarily first shift; however, there may be additional shift requirements to support program objectives.
**Relocation:**
This position offers relocation based on candidate eligibility.
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: $89,000
Applications for this position will be accepted until **Nov. 01, 2025**
**Relocation**
This position offers relocation based on candidate eligibility.
**Visa Sponsorship**
Employer will not sponsor applicants for employment visa status.
**Shift**
This position is for 1st shift
**Equal Opportunity Employer:**
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.
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.

Description
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on methodologies for Generative Artificial Intelligence (GenAI) models. As an Applied Scientist, you will be responsible for supporting the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI. You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre-training and post-training workflows and build efficient models. You will support the system architecture and the best practices that enable a quality infrastructure.
Key job responsibilities
Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas:
- Pre-training and post-training multimodal LLMs
- Scale training, optimization methods, and learning objectives
- Utilize, build, and extend upon industry-leading frameworks
- Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility
- Deliver results independently in a self-organizing Agile environment while constantly embracing and adapting new scientific advances
About the team
The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
Preferred Qualifications
- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As an Applied Scientist with the AGI team, you will work with talented peers to lead the development of algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.
About the team
The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As an Applied Scientist with the AGI team, you will work with talented peers to lead the development of algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.
About the team
The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.