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Temporary Meta Machine Learning Jobs in Arizona (NOW HIRING)

Meta

Critical Operations Manager

Mesa, AZ

$143K/yr

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 ...

Meta

Operations & Maintenance Lead

Mesa, AZ · On-site

$114K/yr

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 ...

Meta

Network Engineer, Deployment & Support

Mesa, AZ

$135K/yr

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 ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ

$67K - $78K/yr

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education ... machine learning, and analysis of structural and functional neuroimaging data. If you are ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ · On-site

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education ... machine learning, and analysis of structural and functional neuroimaging data. If you are ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ · On-site

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education ... machine learning, and analysis of structural and functional neuroimaging data. If you are ...

Mayo Clinic

Research Fellow-Psychiatry

Phoenix, AZ · On-site

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education ... machine learning, and analysis of structural and functional neuroimaging data. If you are ...

Verstela

Packing Inspector | Day and Night

Chandler, AZ

$16.50 - $17/hr

Do you like a busy pace job and learning new skills? Do you prefer to have a schedule that rotates ... This is a full time, temporary to hire position that offers great benefits upon hire! Job Duties:

Komatsu

Electrician Apprentice

Mesa, AZ · On-site

... learning how to do electrical work on large mining shovels. This job may have you on the road out ... This is a temp-to-hire job. Job Duties: * Entry-level work including electrical cabinet rebuilds ...

Komatsu

... learning how to do electrical work on large mining shovels. This job may have you on the road out ... This is a temp-to-hire job. Job Duties: * Entry-level work including electrical cabinet rebuilds ...

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Showing results 1-20

All JobsTemporary Meta Machine Learning JobsTemporary Meta Machine Learning Jobs in Arizona

Temporary Meta Machine Learning information

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

What is the difference between Temporary Meta Machine Learning vs Data Scientist?

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a Temporary Meta Machine Learning Engineer, and why are they important?

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are Temporary Meta Machine Learning jobs?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.
What are the most commonly searched types of Meta Machine Learning jobs in Arizona? The most popular types of Meta Machine Learning jobs in Arizona are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Arizona? For Temporary Meta Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Arizona look for? The top searched job categories for Temporary Meta Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Temporary Meta Machine Learning jobs? Cities in Arizona with the most Temporary Meta Machine Learning job openings:
Temporary Meta Machine Learning jobs near you
Infographic showing various Temporary Meta Machine Learning job openings in Arizona as of June 2026, with employment types broken down into 2% Locum Tenens, 86% Full Time, 5% Part Time, 3% Temporary, 2% Contract, and 2% Nights. Highlights an 74% Physical, 10% Hybrid, and 16% Remote job distribution.
Data Center Production Operations Engineer

Data Center Production Operations Engineer

Meta

Mesa, AZ

$83K/yr

Full-time

Posted 18 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

Meta's Data Center Production Operations team is responsible for keeping the physical infrastructure that powers billions of connections running at peak reliability and efficiency. In this role, you will support the day-to-day operations of large-scale data center environments, including server hardware lifecycle management, rack-level deployments, incident response, and capacity readiness. You will work closely with hardware engineering, network operations, and facilities teams to ensure production systems meet availability and performance targets that underpin Meta's global infrastructure.
Data Center Production Operations Engineer Responsibilities:
  • Perform hands-on installation, configuration, troubleshooting, and replacement of server hardware components including CPUs, memory, storage, and network interface cards across large-scale data center environments
  • Execute rack-level deployments and decommissions in alignment with capacity planning schedules, ensuring accurate asset tracking and documentation
  • Respond to hardware failure alerts and production incidents, diagnosing root causes and coordinating repairs to minimize mean time to recovery
  • Partner with hardware engineering and network operations teams to validate new server configurations and support qualification testing of next-generation infrastructure
  • Develop and refine standard operating procedures for recurring operational tasks, leveraging automation and AI-assisted workflows to improve efficiency and reduce manual effort
  • Monitor data center infrastructure health using operational dashboards and tooling, identifying trends that indicate systemic hardware or environmental issues
  • Collaborate with facilities and power and cooling teams to ensure physical infrastructure conditions remain within operational thresholds
  • Contribute to capacity readiness reviews by tracking hardware inventory, flagging deployment blockers, and communicating status to cross-functional stakeholders
  • Support continuous improvement initiatives by analyzing operational data, identifying recurring failure patterns, and proposing process or tooling enhancements
  • Maintain accurate records of hardware assets, incident tickets, and change management activities in accordance with data center operational standards

Minimum Qualifications:
  • 2+ years of experience in data center operations, including hands-on server hardware installation, troubleshooting, and replacement in a production environment
  • 2+ years of experience diagnosing and resolving hardware failures across server components such as CPUs, DIMMs, HDDs, SSDs, and network interface cards
  • Experience following and contributing to standard operating procedures, change management processes, and asset tracking practices in a large-scale data center
  • Experience collaborating with cross-functional teams including network engineering, facilities, and hardware engineering to resolve production issues and support infrastructure deployments

Preferred Qualifications:
  • Familiarity with data center infrastructure management systems for asset tracking, capacity planning, or incident management
  • Experience with scripting or automation tools (such as Python or Bash) to streamline repetitive data center operational tasks
  • Exposure to power and cooling systems, including working knowledge of how environmental factors affect server hardware reliability and performance
  • Experience supporting hardware qualification or bring-up testing for new server platforms in a production or lab environment

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.
$83,990/year to $130,000/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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