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Meta Ai Jobs in Wisconsin (NOW HIRING)

Meta

Critical Facility Engineer

Beaver Dam, WI

$88K/yr

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 ...

Meta

Critical Operations Manager

Beaver Dam, WI

$143K/yr

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 ...

Meta

Critical Facility Engineer

Beaver Dam, WI

$67K/yr

Meta is seeking a Critical Facility Engineer to join our Data Center Facility Operations team. Our ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta

Electrical Subject Matter Expert

Beaver Dam, WI

$114K/yr

... AI technologies * Experience in a data center industry * Equipment field service engineering or representative experience About Meta: Meta builds technologies that help people connect, find ...

Meta

Mechanical Subject Matter Expert

Beaver Dam, WI

$114K/yr

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) * Experience in data center industry About Meta: Meta ...

Meta

Controls Subject Matter Expert

Beaver Dam, WI

$114K/yr

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 ...

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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 Wisconsin?

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

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

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

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The top searched job categories for Meta Ai jobs in Wisconsin are:

What cities in Wisconsin are hiring for Meta Ai jobs?

Cities in Wisconsin with the most Meta Ai job openings:

Meta Ai jobs near you
Infographic showing various Meta Ai job openings in Wisconsin as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Critical Facility Engineer

Meta

Beaver Dam, WI

$88K/yr

Full-time

Re-posted 11 days ago

Meta rating

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

Job description

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers.
Critical Facility Engineer Responsibilities:
  • Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business
  • Complete work order requests accurately and on time in an enterprise asset management (EAM) system (Hexagon)
  • Achieve and maintain a high-level of technical knowledge regarding data center infrastructure and operations. Successfully complete personnel qualification standards (PQS) training
  • Provides technical expertise and assistance as required
  • Respond quickly, using Meta procedures or emergency operating procedures to data center facility emergencies
  • Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults
  • Troubleshoot, evaluate and recommend system upgrades
  • Order parts and supplies for maintenance and repairs
  • Work with vendors and contractors to ensure work is in accordance with the agreed Meta processes, procedures, and standards
  • Escalate issues to facility management appropriately and timely
  • Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service
  • Provide recommendation of improvements to the operations and maintenance program on an on-going basis
  • Required to work on a shift schedule, which may include nights and holidays
  • Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor system alerts, centralize communications, diagnose faults, and prioritize dispatching of resources

Minimum Qualifications:
  • 6+ years of experience in electrical, HVAC, mechanical, controls, or other technical maintenance field
  • Associate's degree in engineering plus 4+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 6+ years experience
  • Use hands and fingers
  • Reach/push/pull with arms/hands/shoulders
  • Stoop, kneel, crouch and crawl
  • Lift and/or otherwise move 45 pounds or more
  • Sit or stand at a workstation for extended periods of time
  • The candidate will need to be experienced in a broad range of industries such as electrical generation, electrical distribution, cooling technologies, building control and fire protection systems

Preferred Qualifications:
  • 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)
  • 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 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.
$88,005/year to $124,010/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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