ZipRecruiter

Log In

1

Senior 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

$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 ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ · On-site

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... machine learning, computer vision, and self-driving technologies, and apply insights from the ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... machine learning, computer vision, and self-driving technologies, and apply insights from the ...

Relativity

Senior Applied Scientist

Phoenix, AZ · On-site +1

... a Senior Applied Scientist, Generative AI, you will design, build, and deploy generative and ... Develop machine learning and generative AI models that ship as customer-facing product features

LPL Financial

Sr. Analyst, Data Science

Tempe, AZ · On-site

$85K - $143K/yr

Job Overview We are seeking a curious and analytically rigorous Senior Analyst, Data Science to ... Machine Learning & Modeling * Build, validate, and deploy supervised and unsupervised machine ...

Deloitte

Senior AI Engineer - SFL Scientific

Tempe, AZ · On-site

$100K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services ... As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML ...

Phoenix Staff

Senior Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Senior Data & AI Engineer Location: Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

next page

Showing results 1-20

All JobsSenior Meta Machine Learning JobsSenior Meta Machine Learning Jobs in Arizona

Senior Meta Machine Learning information

Is L7 senior at Google?

L7 at Google is considered a senior-level position, typically involving significant technical expertise and leadership responsibilities. It is often regarded as a senior or staff level role within Google's engineering hierarchy, requiring extensive experience and advanced skills in areas like machine learning or software development.

How much does L7 make at Meta?

An L7 Senior Meta Machine Learning engineer typically earns a base salary ranging from $250,000 to $350,000 annually, with additional compensation such as bonuses and stock options. Total compensation can exceed $400,000 depending on performance and stock grants. These figures are based on industry reports and may vary by location and experience.

What engineer makes $500,000 a year?

Senior Meta Machine Learning engineers can earn $500,000 or more annually, especially with bonuses and stock options in large tech companies. High compensation typically requires advanced skills in deep learning, extensive experience, and a strong track record of impactful projects.

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

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

How much does a Meta senior machine learning engineer make?

A senior machine learning engineer at Meta typically earns between $150,000 and $200,000 annually, with total compensation including bonuses and stock options often exceeding this range. Compensation varies based on experience, location, and performance, and the role requires strong skills in deep learning, data analysis, and programming in Python or C++.
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 Senior Meta Machine Learning jobs in Arizona? For Senior Meta Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Senior Meta Machine Learning jobs in Arizona look for? The top searched job categories for Senior Meta Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Senior Meta Machine Learning jobs? Cities in Arizona with the most Senior Meta Machine Learning job openings:
Senior Meta Machine Learning jobs near you
Infographic showing various Senior Meta Machine Learning job openings in Arizona as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.
Critical Operations Manager

Critical Operations Manager

Meta

Mesa, AZ

$143K/yr

Full-time

Posted 11 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 is seeking a Critical Operations Manager to join our Data Center Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Operations Manager (COM) is responsible for the safe and effective operations, maintenance, and modernization of a ~30-70 MW data center. This person must be familiar with equipment utilized in critical environments, maintain a focus on continuous improvement as well as operational rigor, and experience managing a team.
Critical Operations Manager Responsibilities:
  • Develop and execute tactical and strategic plans to safely and effectively operate, maintain, and modernize physical infrastructure
  • Manage a team of Lead Building Engineers, Critical Facility Engineers, and Facility Project Manager through effective leadership, coaching, and performance management
  • Review and approve procedures based on internal standards and industry best practices
  • Investigate incidents, conduct root cause analysis, and implement corrective actions to improve operations
  • Collaborate with peer Critical Operations Managers to ensure consistency in strategy, approach, and delivery of critical operations
  • Maintain partnerships with technical and support teams to achieve maximum uptime and ensure seamless operations
  • Support the environmental, health and safety (EHS) program and ensure adherence to Meta Safety Policies and Procedures
  • Routinely inspect buildings, grounds, and critical equipment to identify potential issues and implement corrective actions
  • Ensure compliance with work management processes, including CMMS and EAM, and industry standards
  • Develop and maintain a comprehensive incident response program, including emergency operating procedures and business continuity plans
  • Support construction project execution (new & retrofit) in the data center, ensuring adherence to construction processes while supporting the critical operations environment
  • Occasional travel as required (<10%), with more travel possible during onboarding

Minimum Qualifications:
  • 8+ years of experience in critical facilities operations
  • 3+ years of experience in team management
  • Proficient with maintenance management programs
  • Regularly walk on flat and uneven terrain
  • Work at varying heights and from ladders
  • Lift and/or move 45 pounds or more regularly
  • Use hands and fingers for various tasks, including reaching/pushing/pulling with hands/arms/shoulders, stooping, kneeling, crouching, and crawling

Preferred Qualifications:
  • Equipment field service engineering experience
  • Trade Certification or state license in Mechanical (HVAC)
  • 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
  • 7+ years of experience in a data center or other critical environment
  • 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.
$143,000/year to $198,000/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.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply