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Full Time Meta Ai Jobs (NOW HIRING)

... AI use during the application or interview process. Ready to get started? Apply to LevelUp today and take the first step toward a full-time role at a Meta Data Center. Earn while you learn. Build ...

... AI use during the application or interview process. Ready to get started? Apply to LevelUp today and take the first step toward a full-time role at a Meta Data Center. Earn while you learn. Build ...

This posting represents different full-time roles across the Meta company. Product Designer ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

This represents different full-time roles across Meta. Product Manager Responsibilities: * Is the ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

... AI use during the application or interview process. Ready to get started? Apply to LevelUp today and take the first step toward a full-time role at a Meta Data Center. Earn while you learn. Build ...

This represents different full-time roles across Meta. Product Manager Responsibilities: * Is the ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

This represents different full-time roles across Meta. Product Manager Responsibilities: * Is the ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

... AI use during the application or interview process. Ready to get started? Apply to LevelUp today and take the first step toward a full-time role at a Meta Data Center. Earn while you learn. Build ...

This represents different full-time roles across Meta. Product Manager Responsibilities: * Is the ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

This represents different full-time roles across Meta. Product Manager Responsibilities: * Is the ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

Meta's mission is to give people the power to build community and bring the world closer together ... This position is full time and based in our Menlo Park office [remote possible]. Responsibilities ...

New

This represents different full-time roles across Meta. Product Manager Responsibilities: * Is the ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

This represents different full-time roles across our product suite. Product Manager (Leadership ... emerging AI technologies About Meta: Meta builds technologies that help people connect, find ...

This posting represents different full-time roles across the Meta company. Product Designer ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

... full-time. CMF Developer Responsibilities: * Support the industrial design team through ... emerging AI technologies About Meta: Meta builds technologies that help people connect, find ...

This represents different full-time roles across Meta. Responsibilities Lead a team through the ... AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains ...

... AI use during the application or interview process. Ready to get started? Apply to LevelUp today and take the first step toward a full-time role at a Meta Data Center. Earn while you learn. Build ...

This represents different full-time roles across our product suite. Product Manager (Leadership ... emerging AI technologies About Meta: Meta builds technologies that help people connect, find ...

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Full Time Meta Ai information

See salary details

$55.5K

$68.5K

$86K

How much do full time meta ai jobs pay per year?

As of Jul 15, 2026, the average yearly pay for full time meta ai in the United States is $68,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $72,500.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior research scientists, AI directors, or executive roles, which offer compensation in that range including salary, bonuses, and stock options. These roles often require advanced degrees, extensive experience, and expertise in machine learning, deep learning, or related fields, and may involve leading large projects or teams in tech companies or research institutions.

What are the key skills and qualifications needed to thrive as a Full-Time AI Engineer at Meta, and why are they important?

To thrive as a Full-Time AI Engineer at Meta, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with AI models. Proficiency in programming languages such as Python or C++, and experience with machine learning frameworks like PyTorch or TensorFlow are typically required. Creative problem-solving, effective communication, and teamwork skills help individuals excel in collaborative and fast-evolving environments. These skills ensure the development of innovative AI solutions that drive Meta's products and services forward.

What are some typical collaborative projects a Full Time Meta AI professional might work on with cross-functional teams?

As a Full Time Meta AI professional, you'll frequently collaborate with cross-functional teams, including product managers, software engineers, data scientists, and UX designers. Projects often center on developing and refining AI-powered features, optimizing machine learning models for scalability, or integrating AI solutions into consumer products. These collaborations usually require clear communication, agile teamwork, and a shared focus on delivering impactful, user-centric solutions. Regular meetings, code reviews, and shared documentation are standard practices to keep projects aligned and efficient.

Can I make money on Meta AI?

Full Time Meta AI roles typically involve developing and improving artificial intelligence technologies, which can be a source of income through employment. Additionally, skills gained in Meta AI jobs, such as machine learning and data analysis, can be applied to freelance projects or consulting opportunities to generate income.

What is the difference between Full Time Meta Ai vs Data Scientist?

AspectFull Time Meta AiData Scientist
Required CredentialsBachelor's or higher in Computer Science, AI, or related fieldsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentTech company, collaborative teams, AI-focused projectsVaried industries, research or business analytics teams
Employer & Industry UsagePrimarily in tech giants like Meta, focusing on AI developmentAcross industries including tech, finance, healthcare, analyzing data
Common Search & ComparisonYesYes

Full Time Meta Ai roles focus on developing and implementing AI solutions within Meta, requiring strong technical skills in AI and machine learning. Data Scientists analyze data to derive insights, often working across various industries. While both roles require analytical skills and technical knowledge, Meta Ai positions are more specialized in AI development within a tech environment, whereas Data Scientists have broader applications across sectors.

Is it hard to get hired at Meta?

Getting hired for a full-time Meta AI role can be competitive, often requiring strong technical skills in machine learning, deep learning, or data analysis, along with relevant experience and a solid educational background. The hiring process typically involves multiple interviews, technical assessments, and demonstrating problem-solving abilities. Candidates who showcase expertise in AI tools and a good understanding of Meta's products tend to have better chances.

How much do you get paid at Meta for AI jobs?

Salaries for AI roles at Meta vary depending on experience and position, but entry-level AI engineers typically earn between $120,000 and $160,000 annually, with more experienced roles earning higher. Compensation often includes benefits such as stock options, bonuses, and health insurance, and may also involve performance-based incentives. These figures are based on industry data and can fluctuate with location and job level.

What is a Full Time Meta AI employee?

A Full Time Meta AI employee is someone who works at Meta (formerly Facebook) on a full-time basis, contributing to the company’s artificial intelligence (AI) initiatives. These employees may work on research, product development, or implementation of AI technologies such as machine learning, natural language processing, or computer vision. The roles can include data scientists, research scientists, software engineers, and AI product managers. Full time positions typically offer benefits and require a standard workweek, providing stability and growth opportunities within Meta’s fast-evolving AI teams.
More about Full Time Meta Ai jobs
What cities are hiring for Full Time Meta Ai jobs? Cities with the most Full Time Meta Ai job openings:
What are the most commonly searched types of Meta Ai jobs? The most popular types of Meta Ai jobs are:
What states have the most Full Time Meta Ai jobs? States with the most job openings for Full Time Meta Ai jobs include:
Infographic showing various Full Time Meta Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $68,500 per year, or $32.9 per hour.
Level Up Installer Program by Meta

Level Up Installer Program by Meta

CBRE

Fishers, IN • On-site

$25/hr

Full-time

Re-posted 25 days ago


CBRE rating

8.1

Company rating: 8.1 out of 10

Based on 341 frontline employees who took The Breakroom Quiz

91st of 451 rated business services


Job description

Launch Your Data Center Career-Train with CBRE, Power the Future with Meta
Meta is growing fast and they need people like you to help power their AI infrastructure. This is your chance to start a stable career in a booming industry with competitive pay and benefits at a Meta Data Center.
Through the Level Up the Fiber Technician Pathway program sponsored by Meta, CBRE is recruiting and hiring candidates into a four-week, paid training program. Graduate successfully, and you'll transition into a permanent, full-time as a Fiber Installer at a Meta Data Centers.
Whether you're local and ready to commute-or a road warrior ready to travel, this is your chance to learn fast, work smart, and turn training into a long-term career path.
What You'll Do (and Learn to Do)
During training-and once you're on the job-you'll build the skills to:
• Install, test, terminate, label, and document fiber optic cabling
• Pull low-voltage cables through conduits, ceilings, and pathways (ISP/OSP)
• Interpret floor plans, port maps, and telecom drawings to execute work accurately
• Install ladder rack, fiber troughs, seismic bracing, and grounding systems
• Patch, label, and barcode network equipment with precision and consistency
• Work safely every day while learning alongside experienced technicians
No experience? No problem-everything you need is taught during the training program.
What We're Looking For
• A strong willingness to learn and take direction
• A safety-first mindset, plus reliability and teamwork
• Comfort using hand tools
• Readiness for hands-on, physical work
• Interest in technical systems, cabling, or construction-style environments
• Great attention to detail and a customer-focused mindset
• English/Spanish bilingual is a plus
• Eligibility to work in the United States
Training & Pay (Earn While You Learn)
• Training starts August 10th and runs for four weeks (full-time), with new classes starting weekly
• $25.00/hour during training
• If you're local, you may commute daily
• If you're non-local, you'll receive company-paid housing, travel, and food for the duration of training
Why CBRE
CBRE supports Meta by delivering consistent, skills-focused training experience-and a clear path from training into long-term employment. We value respect, integrity, service, and excellence, and we welcome applicants from all backgrounds.
Applicant AI Use Disclosure
CBRE values human interaction throughout the hiring process. We do not use AI to make hiring decisions and ask candidates to disclose any AI use during the application or interview process.
Ready to get started?
Apply to LevelUp today and take the first step toward a full-time role at a Meta Data Center.
Earn while you learn. Build real skills. Power the future with Meta.
Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
Equal Employment Opportunity: CBRE has a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.
Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company's success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).

What CBRE employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


CBRE logo

About CBRE

Sourced by ZipRecruiter

The real estate industry is undergoing significant and exciting change, increasingly driven by data and technology. At CBRE, the world's premier commercial real estate services company, we empower teams to take ownership over that technology and shape it, offering both nimble, research-driven product design and the resources of a Fortune 500 business. We approach culture with intention, valuing camaraderie, collaboration, inclusivity and a healthy work/life balance. The user experience team is passionate about the quality, usability, and simplicity of the experiences we create. Individuals in these roles gather these key user insights, and then use them to inspire and inform product strategy and design solutions. We partner closely with each other, engineering, and product management to create innovative, usable, great-looking products.

Industry

Real estate

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1906

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