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Virtual Meta Ai Jobs in Bothell, WA (NOW HIRING)

Meta

AI Research Engineer

Seattle, WA

$183K/yr

Experience working in AI/ML environments * Can manage data pipelines and versioning About Meta ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

AI Research Engineer

Bellevue, WA

$183K/yr

Experience working in AI/ML environments * Can manage data pipelines and versioning About Meta ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Partner Engineer, Wearables

Seattle, WA · On-site +1

$149K/yr

... AI glasses users. You will serve as the primary technical liaison between Meta and strategic ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

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How much do virtual meta ai jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for virtual meta ai in Bothell, WA is $27.27, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $30.62 per hour, depending on experience, location, and employer.

What is a Virtual Meta AI?

A Virtual Meta AI refers to an artificial intelligence system that operates in virtual environments, often to manage, moderate, or enhance user experiences within digital spaces such as the metaverse. These AI can interact with users, automate tasks, facilitate virtual events, and provide support or information. They are designed to understand natural language, learn from interactions, and adapt to the needs of a virtual community or platform. Virtual Meta AI are increasingly used in gaming, virtual workplaces, and online social platforms to create more immersive and responsive digital experiences.

How does a Virtual Meta AI specialist typically collaborate with cross-functional teams to implement AI solutions?

Virtual AI Specialists often work closely with software engineers, data scientists, and project managers to design, develop, and deploy AI-driven applications. Collaboration usually involves participating in virtual meetings, sharing progress updates, and integrating feedback from different departments to refine models and algorithms. Effective communication and documentation are essential, as team members may be in various locations and time zones. This collaborative structure fosters innovation and ensures that AI solutions align with business objectives and user needs.

What are the key skills and qualifications needed to thrive as a Virtual Meta AI engineer, and why are they important?

To thrive as a Virtual AI Engineer at Meta, you need strong programming skills in languages like Python or C++, a solid understanding of machine learning algorithms, and a background in computer science or a related field. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with distributed computing, and sometimes certifications in AI or cloud platforms are valuable. Outstanding problem-solving ability, strong collaboration, and effective communication help you innovate and work well within cross-functional teams. These skills and qualities drive the development of reliable, high-impact AI solutions that are central to Meta's products and user experiences.

What is the difference between Virtual Meta Ai vs Virtual Data Analyst?

AspectVirtual Meta AiVirtual Data Analyst
Required CredentialsAI certifications, programming skillsStatistics, data analysis certifications
Work EnvironmentRemote, AI-focused projectsRemote, data interpretation tasks
Employer & Industry UsageTech companies, AI startupsBusiness, finance, marketing sectors
Common Search & ComparisonYesYes

Virtual Meta Ai primarily involves developing and managing AI models, requiring programming and AI certifications. In contrast, Virtual Data Analysts focus on interpreting data to inform business decisions, often with statistics and data analysis credentials. Both roles are remote and widely used across tech and business industries, but they serve different functions within data and AI ecosystems.

What are popular job titles related to Virtual Meta Ai jobs in Bothell, WA?

For Virtual Meta Ai jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Virtual Meta Ai jobs in Bothell, WA look for?

The top searched job categories for Virtual Meta Ai jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Virtual Meta Ai jobs?

Cities near Bothell, WA with the most Virtual Meta Ai job openings:

Virtual Meta Ai jobs near you
Infographic showing various Virtual Meta Ai job openings in Bothell, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $56,731 per year, or $27.3 per hour.

Software Engineer, Databases (Technical Leadership)

Bellevue, WA • On-site, Remote

Meta
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students

Learn more about Metaexternal

$219K/yr

Full-time

Re-posted 17 days ago

Job description

Meta is seeking a distinguished Software Engineer specializing in database internals to drive the technical direction of our MySQL infrastructure that powers Meta's family of products and platforms. In this role, you will architect and evolve critical database systems within our MySQL team — including our custom storage layer (MyRocks) and replication layer (MyRAFT) — that underpin billions of user interactions daily. You will identify and solve the hardest database-level challenges across the organization, define multi-year technical strategy to adapt our relational database systems to support Meta's AI needs, and serve as a force multiplier for engineering teams through deep database expertise, AI-native workflows, and cross-functional leadership.
Software Engineer, Databases (Technical Leadership) Responsibilities:
  • Define and drive the long-term technical vision and architecture for Meta's MySQL infrastructure, including the MyRocks storage engine and MyRAFT replication layer
  • Architect database system enhancements to support Meta's evolving AI workloads and large-scale data requirements
  • Identify and resolve the most complex database-level performance, reliability, and correctness challenges that span storage, replication, query execution, and transaction processing
  • Lead the design and implementation of critical database internals — including storage engine optimizations, replication protocols, query planning, and transaction management — ensuring correctness, efficiency, and long-term maintainability
  • Establish extensible technical foundations, coding standards, and architectural patterns that improve consistency and velocity across database engineering teams
  • Develop and operationalize testing frameworks, verification methodologies, and data integrity checks that prevent database bugs and reliability regressions at scale
  • Leverage AI tooling and automation to optimize database performance, accelerate development workflows, and identify optimization opportunities
  • Partner with product, infrastructure, and platform engineering teams to translate complex database requirements into durable technical designs, influencing roadmaps across organizational boundaries
  • Define and track database-level metrics, SLOs, and performance guardrails that connect engineering outcomes to organization-level priorities
  • Mentor engineers across the organization on database design principles, query optimization techniques, and storage engine internals

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience in database systems engineering, including design and implementation of database internals such as storage engines, replication systems, query optimizers, or transaction processing
  • Experience working on database teams in the industry, with deep expertise in database architecture and internals
  • Experience architecting and owning large-scale database infrastructure used across multiple teams or organizations, including driving multi-year technical roadmaps
  • Experience identifying and resolving complex database performance, reliability, or correctness issues spanning storage, replication, or query execution layers
  • Experience defining engineering standards, architectural patterns, and verification methodologies that improve database system quality and consistency
  • Experience communicating complex database architecture and technical strategy in writing and presentations to both technical and non-technical stakeholders

Preferred Qualifications:
  • Experience applying AI and machine learning techniques to database optimization problems, such as query optimization, workload prediction, or automated performance tuning
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with distributed database systems, consensus protocols (such as Raft or Paxos), or building highly available data infrastructure
  • Experience leading database migrations, schema evolution, or platform modernization efforts in large-scale production environments
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with database internals, like storage engines

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 accommodations-ext@meta.com.
$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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