Electronics Jobs in Washington with E-3 Sponsorship
Washington state is one of the strongest markets for electronics E-3 sponsorship in the U.S., anchored by major employers like Microsoft, Amazon, and Boeing alongside a dense cluster of semiconductor and hardware firms in the Seattle metro and Redmond corridor. Australian engineers and electronics specialists will find consistent demand for specialty occupation roles across the state.
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Get Access To All JobsThe System Intelligence and Machine Learning (SIML) organization at Apple is looking for an experienced and visionary Machine Learning Architect Manager to drive technology direction, shape our machine learning strategy, and lead pioneering R&D efforts. In this role, you will define and guide the development of technologies focusing on improving both the quality and performance of advanced large language models (LLMs) and generative AI models for image and video generation. You will work closely with cross-functional teams, including researchers, engineers, and product leaders, to deliver cutting-edge AI solutions that push the boundaries of generative technologies both on cloud and on edge devices that reach billions of users.
Description
In this ML architect manager role, the key responsibilities include:
- Technology Strategy & Direction: Define the technical roadmap for improving the quality and performance in LLMs and generative models, ensuring alignment with business objectives.
- Technology and Industry Leadership: Lead R&D initiatives in areas such as large-scale model optimization, hardware and software co-design, diffusion models, multi-modal AI, and generative video synthesis. Stay up-to-date with advancements in Generative AI to incorporate emerging technologies into our solutions.
- Architecture Design: Develop scalable, efficient architectures for training, optimizing, and deploying large-scale LLMs and generative models.
- Innovation and Experimentation: Explore and prototype novel techniques in generative AI, including fine-tuning, reinforcement learning with various reward strategies, transfer learning, and multimodal alignment.
- Collaboration and Mentorship: Partner with the rest of Apple teams to transition technology breakthroughs into production grade solutions. Guide and mentor machine learning engineers and researchers to foster technical excellence.
Minimum Qualifications
- Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience
- Proficiency in toolkits like PyTorch or other deep learning frameworks
- 15+ years in machine learning, with at least 2 years of experience in LLMs, diffusion models, or other generative image/video models
- Experience in distributed training, model parallelism, and deployment of large-scale generative models
- Knowledge of techniques such as quantization, distillation, and efficient inference. Experience with deploying large ML models in real world products
- Strong background in conducting experiments, analyzing results, and iterating on model improvements.
Preferred Qualifications
- Experience in multi-modal models (e.g., image, video, audio, or motion modalities)
- Familiarity with emerging technologies such as Mixture of Experts, LoRA, and Retrieval Augmented Generation
- Strong academic track record with publications in top tier conferences (NeurIPS, CVPR, ICLR, etc)
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $188,200 and $325,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
The System Intelligence and Machine Learning (SIML) organization at Apple is looking for an experienced and visionary Machine Learning Architect Manager to drive technology direction, shape our machine learning strategy, and lead pioneering R&D efforts. In this role, you will define and guide the development of technologies focusing on improving both the quality and performance of advanced large language models (LLMs) and generative AI models for image and video generation. You will work closely with cross-functional teams, including researchers, engineers, and product leaders, to deliver cutting-edge AI solutions that push the boundaries of generative technologies both on cloud and on edge devices that reach billions of users.
Description
In this ML architect manager role, the key responsibilities include:
- Technology Strategy & Direction: Define the technical roadmap for improving the quality and performance in LLMs and generative models, ensuring alignment with business objectives.
- Technology and Industry Leadership: Lead R&D initiatives in areas such as large-scale model optimization, hardware and software co-design, diffusion models, multi-modal AI, and generative video synthesis. Stay up-to-date with advancements in Generative AI to incorporate emerging technologies into our solutions.
- Architecture Design: Develop scalable, efficient architectures for training, optimizing, and deploying large-scale LLMs and generative models.
- Innovation and Experimentation: Explore and prototype novel techniques in generative AI, including fine-tuning, reinforcement learning with various reward strategies, transfer learning, and multimodal alignment.
- Collaboration and Mentorship: Partner with the rest of Apple teams to transition technology breakthroughs into production grade solutions. Guide and mentor machine learning engineers and researchers to foster technical excellence.
Minimum Qualifications
- Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience
- Proficiency in toolkits like PyTorch or other deep learning frameworks
- 15+ years in machine learning, with at least 2 years of experience in LLMs, diffusion models, or other generative image/video models
- Experience in distributed training, model parallelism, and deployment of large-scale generative models
- Knowledge of techniques such as quantization, distillation, and efficient inference. Experience with deploying large ML models in real world products
- Strong background in conducting experiments, analyzing results, and iterating on model improvements.
Preferred Qualifications
- Experience in multi-modal models (e.g., image, video, audio, or motion modalities)
- Familiarity with emerging technologies such as Mixture of Experts, LoRA, and Retrieval Augmented Generation
- Strong academic track record with publications in top tier conferences (NeurIPS, CVPR, ICLR, etc)
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $188,200 and $325,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Job Roles in Electronics in Washington
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Get Access To All JobsFrequently Asked Questions
Which electronics companies sponsor E-3 visas in Washington?
Microsoft, Amazon, and Boeing are among the largest employers of electronics and hardware professionals in Washington and have established E-3 sponsorship track records. Beyond these, companies like Valve, Expedia, and a range of semiconductor and defense electronics firms in the Seattle and Bellevue area regularly sponsor specialty occupation roles. Sponsorship availability varies by team, headcount, and hiring cycle, so confirming directly with the employer matters.
Which cities in Washington have the most electronics E-3 sponsorship jobs?
Seattle and Redmond account for the largest share of electronics E-3 sponsorship activity in Washington, driven by Microsoft's Redmond headquarters and the broader Seattle tech and aerospace ecosystem. Bellevue and Kirkland also have significant hardware and electronics hiring, particularly in consumer electronics and cloud infrastructure. Smaller clusters exist in Everett, where Boeing's manufacturing operations concentrate, and in Bothell, which has a strong medical electronics and defense presence.
What types of electronics roles typically qualify for E-3 sponsorship?
Roles that qualify for E-3 sponsorship must meet the specialty occupation standard, meaning they require a bachelor's degree or higher in a specific technical field. In electronics, this typically includes hardware design engineers, embedded systems engineers, RF and signal processing engineers, PCB design engineers, firmware engineers, and VLSI or semiconductor process engineers. General electronics technician roles that don't require a degree in a specific discipline are less likely to qualify, and the employer must be prepared to demonstrate the degree requirement.
How do I find electronics E-3 sponsorship jobs in Washington?
Migrate Mate is built specifically for this search, letting you filter by visa type, state, and industry to surface electronics E-3 sponsorship roles in Washington without manually screening thousands of listings. Because E-3 eligibility depends on the role meeting specialty occupation requirements and the employer being willing to file, using a platform that pre-filters for sponsorship willingness saves significant time. Migrate Mate's Washington electronics listings pull from employers with documented sponsorship activity.
Are there any Washington-specific considerations for electronics E-3 sponsorship?
Washington has no state income tax, which affects total compensation comparisons but has no bearing on E-3 eligibility or the sponsorship process itself. One practical consideration is that Washington's electronics sector includes significant defense contractors like Boeing and Leidos, and some roles at those employers require security clearances that are not available to E-3 visa holders. Confirming clearance requirements before applying saves time for Australian candidates targeting defense-adjacent electronics positions.
What is the prevailing wage for E-3 electronics jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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