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Contract Meta Machine Learning Jobs in Georgia (NOW HIRING)

Meta

GA · On-site

$104K/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 ...

Raspberry Pi Foundation

Learning Manager

Atlanta, GA · On-site

$72K - $78K/yr

Permanent contract. Full-time, part-time or flexible Eligibility: You must be eligible to work in ... Artificial intelligence and machine learning applications are already changing many aspects of our ...

Raspberry Pi Foundation

Learning Manager

Atlanta, GA · On-site +1

$72K - $78K/yr

Permanent contract. Full-time, part-time or flexible Eligibility: You must be eligible to work in ... Artificial intelligence and machine learning applications are already changing many aspects of our ...

Cloud Data Vision LLC

AI Architect

Atlanta, GA · On-site

... Contract Experience: 12+ Years Job Summary We are seeking an experienced AI Architect to design and lead the implementation of enterprise-grade Artificial Intelligence and Machine Learning solutions.

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Contract Meta Machine Learning information

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

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

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are popular job titles related to Contract Meta Machine Learning jobs in Georgia?

For Contract Meta Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Contract Meta Machine Learning jobs in Georgia look for?

The top searched job categories for Contract Meta Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Contract Meta Machine Learning jobs?

Cities in Georgia with the most Contract Meta Machine Learning job openings:

Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Georgia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Critical Facility Engineer

GA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$104K/yr

Full-time

Re-posted 24 days ago

Key responsibilities

  • Perform hands-on operations and maintenance of critical systems in data centers to ensure uptime, efficiency, and safety.

  • Complete work order requests accurately and on time using an enterprise asset management system.

  • Inspect equipment, buildings, safety routes, and grounds to identify abnormal or unsafe conditions and troubleshoot system issues.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

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 in a timely manner
  • 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 ongoing basis
  • Required to work on a shift schedule, which may include nights and holidays
  • Utilize building management systems (BMS) and monitoring tools in a control room environment to operate remote equipment, monitor system alerts, centralize communications, diagnose faults, and prioritize the dispatching of resources

Minimum Qualifications:
  • 7+ years experience in electrical, HVAC, mechanical, controls, or other technical maintenance field
  • Associate's degree in engineering plus 5+ years experience or Bachelor's degree in related field plus 3+ years of experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 7+ years of 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
  • Ability to work at a workstation for extended periods, with or without reasonable accommodation

Preferred Qualifications:
  • Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments
  • Experience interpreting blueprints/CAD drawings
  • Knowledge of critical facilities operations
  • Knowledge of EAM/CMMS systems
  • Trade Certification or state licensure in Electrical or Mechanical (HVAC)
  • 7+ years of experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.)
  • Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.)

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.
$104,998/year to $151,008/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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