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Meta Ai Jobs in Colorado (NOW HIRING)

In this role, you will have a unique opportunity to work on cutting-edge Optical and IP networking technologies owning the deployment planning, implementation, and scaling of Meta's AI network ...

You will use data analysis to influence design decisions and leverage automation to achieve the scale and velocity that Meta's AI-era data center growth demands. Network Production Engineer ...

... AI/ML applications. As a member of this team, you will have a unique opportunity to be involved in all aspects of global networking at Meta. Network Engineer, Foundation & Support Responsibilities:

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) * Familiarity with Meta's products and services ...

... AI technologies 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 ...

Meta designs, builds, and operates some of the most advanced and efficient data center ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies About Meta: Meta builds technologies that help ...

... AI technologies 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 ...

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies About Meta: Meta builds technologies that help ...

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review) About Meta: Meta builds technologies that help people ...

Meta's energy footprint is scaling faster than any single team can assess end to end. We have deep ... Apply AI to scale the work by standing up AI and agentic tooling that automates portfolio reporting ...

Own and shape the cross team alignment to deliver Meta's next-generation AI and rest of world infrastructure. This role has direct influence over how we design, deploy, and operate the environments ...

Meta is looking for a forward-thinking engineering leader with technical skills in systems, tooling ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

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Meta Ai information

What is a Meta AI?

A Meta AI job typically involves working on artificial intelligence initiatives at Meta, the parent company of Facebook, Instagram, and WhatsApp. Roles in Meta AI span research, machine learning engineering, software development, and AI ethics, focusing on advancing AI technologies for Meta’s platforms. Employees may work on natural language processing, computer vision, or AI-driven user experiences. These positions require expertise in AI, data science, and software engineering.

What are the key skills and qualifications needed to thrive in the Meta AI position, and why are they important?

To thrive as a Meta AI Engineer, you need a solid background in computer science, machine learning, and data analysis, typically supported by a relevant degree and hands-on project experience. Familiarity with programming languages such as Python or C++, deep learning frameworks like PyTorch or TensorFlow, and industry certifications in AI or cloud platforms is highly valuable. Strong problem-solving abilities, collaboration, and a passion for continuous learning help individuals excel in fast-moving, innovative environments. These competencies are crucial for developing advanced AI models, integrating them into Meta’s products, and driving impactful technological advancements.

What are some common challenges faced by Meta AI engineers, and how can candidates best prepare to address them?

Meta AI Engineers often work on complex, large-scale projects that require balancing accuracy, performance, and ethical considerations. One common challenge is keeping up with rapidly evolving AI technologies while ensuring that new models integrate seamlessly into Meta’s global ecosystem. Successful candidates prepare by actively following advancements in machine learning, gaining experience with scalable systems, and working collaboratively in multidisciplinary teams. Demonstrating adaptability and a proactive approach to learning will help you tackle these challenges effectively and contribute to Meta's innovative AI initiatives.

How to work in Meta AI?

To work in Meta AI, candidates typically need a strong background in computer science, machine learning, or related fields, along with experience in AI research or development. Applying involves submitting a resume through Meta's careers portal, completing technical assessments, and participating in interviews that evaluate technical skills and problem-solving abilities. Familiarity with tools like PyTorch and knowledge of AI ethics are also beneficial.

What are the most commonly searched types of Meta Ai jobs in Colorado?

The most popular types of Meta Ai jobs in Colorado are:

What are popular job titles related to Meta Ai jobs in Colorado?

For Meta Ai jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Meta Ai jobs?

Cities in Colorado with the most Meta Ai job openings:

Infographic showing various Meta Ai job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Network Engineer, Optical Deployment

Denver, CO


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


$135K/yr

Full-time

Re-posted 19 days ago


Job description

Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible for planning and executing network deployments to build one of the world's largest optical backbone networks. In this role, you will have a unique opportunity to work on cutting-edge Optical and IP networking technologies owning the deployment planning, implementation, and scaling of Meta's AI network infrastructure.
Network Engineer, Optical Deployment Responsibilities:
  • Lead the technical deployment, architecture, and execution for your team’s projects within Edge Network Services (ENS) on network deployment, ensuring alignment with organizational direction and goals
  • Provide hands-on technical contributions (design, deployment, migrate, code reviews, troubleshooting, etc.) on large scale complex programs demonstrating domain expertise and technical impact
  • Contribute to strategic objectives by executing six-month to multi-year roadmaps that support business growth and transformation. Balance high-level strategic direction with hands-on leadership to deliver results across a broad portfolio of initiatives
  • Apply established engineering standards for reliability, scalability, and performance to deliverables, driving continuous improvement in engineering processes and technical quality
  • Collaborate cross-functionally across Network Engineering, Data Center, Network Investments, and Planning teams to ensure successful execution of shared goals on network delivery
  • Deploy, migrate and support our global production network including edge, backbone, and data center infrastructure
  • Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community
  • 10% to 30% of travel

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of Network Engineering, including hands-on responsibility for planning, building, deployment or migrating production network environments
  • 3+ years experience working in Optical Network Engineering
  • Hands-on experience with enterprise and carrier class routing, switching, and optical transport platforms
  • Knowledge of data center design and operational best practices
  • Proven experience leading and executing network deployment and migration projects
  • Experience interacting with vendors and external parties to drive projects to completion

Preferred Qualifications:
  • Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience in data center, edge, or large-scale network environments
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Proficiency in automation (Python, Go, etc.) and network configuration management tooling
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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.
$135,000/year to $191,000/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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