Top 101 Ai training software engineering specialist Jobs in Bellevue, Wa

Software Engineer, AI Specialist - Monetization (Technical Leadership)
Meta —Bellevue, WA
- $219,000 - $301,000 a year
- Computer science
- Computer Science
- System design
8d
Data Engineer - Project Delivery Specialist
Deloitte —Bellevue, WA
- $102,750 - $171,250 a year
- Full-time
- 7 years
- Azure
- Computer Science
Sr. Solutions Architect, HCLS AI/ML and Data Strategy Specialists, Global Healthcare
Amazon Web Services, Inc. —Seattle, WA
- $153,600 - $207,800 a year
- Full-time
- HIPAA
- 3 years
- Presentation skills
- AD&D insurance
- Health insurance
Platform Software Engineering MTS
Salesforce —Bellevue, WA
- $117,200 - $194,200 a year
- Full-time
- Azure
- AWS
- Fair chance
- Paid parental leave
- Disability insurance
5d
Research Engineer, Monetization AI
Meta —Bellevue, WA
- $183,997 - $257,000 a year
- Computer science
- Computer Science
- Master's degree
Software Engineer, AI Kernels & Performance Optimization — MTIA Software
Meta —Bellevue, WA
- $183,997 - $257,000 a year
- Computer science
- 6 years
- Computer Science
2d
Applied Scientist II
Qualtrics —Seattle, WA
- $167,500 - $220,000 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Health insurance
- Dental insurance
Senior Specialist - Software Engineering
LTM —Bellevue, WA
- $133,202 - $148,400 a year
- Azure
- 11+ years
- AWS
- Paid parental leave
- Paid holidays
Quick Apply
Software Development Manager, Specialist AI Tooling, Specialist Technology Team
Amazon Web Services, Inc. —Seattle, WA
- $184,900 - $275,200 a year
- Full-time
- Computer science
- Computer Science
- 3 years
- AD&D insurance
- Health insurance
Sr. Technical Support Engineer
Salesforce —Seattle, WA
- $99,400 - $150,300 a year
- Full-time
- 5 years
- Writing skills
- Research
- Paid parental leave
- Disability insurance
Senior Platform Software Engineer
Salesforce —Bellevue, WA
- $148,500 - $223,900 a year
- Full-time
- Azure
- AWS
- Fair chance
- Paid parental leave
- Disability insurance
5d
Simulation Development Engineer II - New Glenn Launch Engineering
Blue Origin —Seattle, WA
- $134,961.00 - $188,945.40 a year
- Full-time
- Background check
- Computer science
- Computer Science
- Paid parental leave
- Paid holidays
3d
Agentic AI Engineer — Healthcare AI
Deloitte —Seattle, WA
- $110,700 - $372,900 a year
- Full-time
- Computer Science
- Up to 50% travel
- System design
PCB Design Librarian III
Blue Origin —Seattle, WA
- $104,027.00 - $145,637.10 a year
- Full-time
- Background check
- 5 years
- Bachelor of Science
- Paid parental leave
- Paid holidays
Front End Engineer , AWS APO Engineering
Amazon Web Services, Inc. —Seattle, WA
- $143,700 - $194,400 a year
- Full-time
- Computer science
- Computer Science
- Analysis skills
- AD&D insurance
- Health insurance
11d
Member of Technical Staff - ML Infrastructure Engineer, Post-training
Preference Model —Seattle, WA
- $180,000 - $300,000 a year
- Full-time
- AWS
- Senior level
- Dental insurance
- Vision insurance
Navigation Software Engineer
Blue Origin —Seattle, WA
- $130,706.00 - $182,987.70 a year
- Full-time
- Background check
- 5 years
- Bachelor of Science
- Paid parental leave
- Paid holidays
Principal Worldwide Specialist Solutions Architect, Amazon Bedrock, AgentCore, Data & AI GTM
Amazon Web Services, Inc. —Seattle, WA
- $182,800 - $272,000 a year
- Full-time
- Computer science
- Computer Science
- AWS
- AD&D insurance
- Health insurance
13d
Senior Specialist - Quality Engineering
LTM —Seattle, WA
- $98,000 - $146,600 a year
- Office
- Java
- SQL
- Paid parental leave
- Paid holidays
Quick Apply
Staff UX Designer, Google Beam
Google —Seattle, WA
- $188,000 - $274,000 a year
- Full-time
- Computer Science
- Office
- Master's degree
- Paid holidays
- Disability insurance
5d

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ai training software engineering specialist jobs near bellevue, wa

Software Engineer, AI Specialist - Monetization (Technical Leadership)

Meta -
Bellevue, WA

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Job Details

$219,000 - $301,000 a year
8 days ago

Qualifications

AI models
Software engineering
Software implementation
System design
AI platforms (beyond public GPTs)
Infrastructure architecture design
System design for system development
Production systems
Machine intelligence
Managing engineering teams
Model deployment
Developing large-scale AI models
Design engineering
Leading team collaboration initiatives
System development
Machine learning (ML) fundamentals
Technical writing experience within technology
Cross-functional communication

Full Job Description

Meta is seeking a distinguished Software Engineer with deep AI specialization to drive transformative technical initiatives across Meta's AI-powered products and platforms. In this role, you will define and lead the architectural direction of large-scale AI systems — spanning foundation models, intelligent ranking and recommendation infrastructure, and applied machine learning pipelines — that serve billions of users across Meta's family of apps. You will identify and solve the hardest AI engineering challenges in the organization, set technical standards that span multiple teams, and leverage AI as a force multiplier to unlock capabilities previously considered intractable. This is a role for a technical leader who operates at the intersection of cutting-edge AI research and production-scale engineering, shaping both the systems and the culture that power Meta's AI future.

Software Engineer, AI Specialist - Monetization (Technical Leadership) Responsibilities:

Identify and solve the most complex AI systems engineering challenges across the organization, including architecting large-scale machine learning training and inference infrastructure that operates at Meta's global scale
Define extensible technical foundations and cross-organizational standards for AI model development, evaluation, and deployment pipelines that favor consistency and long-term maintainability
Drive the technical vision and multi-year roadmap for AI platform capabilities, influencing priorities across multiple engineering teams and cross-functional partners including research, product, and data science
Evaluate emerging AI architectures, model paradigms, and industry developments to identify opportunities and risks relevant to Meta's competitive position, and translate findings into actionable engineering strategy
Lead the design and implementation of AI systems where correctness, reliability, and performance are rigorously proven, establishing invariants and testing frameworks that prevent entire categories of model and system failures
Identify where AI tooling and automation can eliminate entire categories of engineering work, and drive adoption of AI-native workflows across engineering teams to exponentially increase organizational throughput
Collaborate with research scientists and applied researchers to translate novel AI techniques from prototype into production systems that deliver measurable improvements to key product metrics
Mentor engineers across the organization by providing customized technical coaching, leading engineering programs such as architecture reviews and AI craft initiatives, and establishing a culture of rigor and thoroughness
Partner with legal, policy, and compliance teams to ensure AI systems meet privacy, security, and integrity standards, and set the bar for responsible AI development practices across the business domain
Define new metrics and data-driven decision-making principles for long-term, cross-team AI initiatives, connecting technical outcomes to organization-level priorities and business impact

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
12+ years of experience in software engineering with a focus on AI, machine learning systems, or applied deep learning in production environments
Experience architecting and delivering large-scale AI or machine learning systems — including training infrastructure, model serving, ranking, recommendation, or foundation model pipelines — that operate at significant scale
Experience leading multi-team technical initiatives end-to-end, including defining strategy, driving cross-functional alignment, and delivering measurable outcomes against organization-level goals
Experience identifying and resolving systemic engineering issues that span multiple systems or abstraction layers, including developing frameworks that prevent recurring classes of failures
Experience communicating complex AI system designs and technical trade-offs in writing and presentations to both technical and non-technical audiences, including engineering leadership

Preferred Qualifications:

Experience applying AI and automation tooling to eliminate categories of engineering toil and measurably improve team-level or organization-level engineering efficiency
Contributions to peer-reviewed AI or systems research (e.g., NeurIPS, ICML, ICLR, MLSys, OSDI) or demonstrated track record of translating research advances into production AI systems
Experience with large-scale model training optimization, distributed training frameworks, or inference efficiency techniques such as quantization, distillation, or speculative decoding
Experience defining and operationalizing privacy-preserving or safety-aware AI system designs in collaboration with policy, legal, or compliance stakeholders

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

$219,000/year to $301,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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Refine Your Search

ai training software engineering specialist jobs in bellevue, wa

Software Engineer, AI Specialist - Monetization (Technical Leadership)

Data Engineer - Project Delivery Specialist

Sr. Solutions Architect, HCLS AI/ML and Data Strategy Specialists, Global Healthcare

Platform Software Engineering MTS

Research Engineer, Monetization AI

Software Engineer, AI Kernels & Performance Optimization — MTIA Software

Applied Scientist II

Senior Specialist - Software Engineering

Software Development Manager, Specialist AI Tooling, Specialist Technology Team

Sr. Technical Support Engineer

Senior Platform Software Engineer

Simulation Development Engineer II - New Glenn Launch Engineering

Agentic AI Engineer — Healthcare AI

PCB Design Librarian III

Front End Engineer , AWS APO Engineering

Member of Technical Staff - ML Infrastructure Engineer, Post-training

Navigation Software Engineer

Principal Worldwide Specialist Solutions Architect, Amazon Bedrock, AgentCore, Data & AI GTM

Senior Specialist - Quality Engineering

Staff UX Designer, Google Beam

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