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Meta Machine Learning Jobs in Florida (NOW HIRING)

Meta

Campus Construction Manager

Miami, FL · On-site

$178K/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 ...

SynergisticIT

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

Develop predictive models and machine learning algorithms * Collaborate with DevOps teams to deploy ... Google, Apple, Facebook (Meta), Amazon, Microsoft, IBM, Oracle, Cisco, Client, Wells Fargo, Client ...

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How much do meta machine learning jobs pay per hour?

As of May 28, 2026, the average hourly pay for meta machine learning in Florida is $15.94, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $17.07 per hour, depending on experience, location, and employer.

What is a Meta Machine Learning job?

A Meta Machine Learning job typically involves developing and optimizing machine learning models at scale, often within Meta (formerly Facebook). These roles focus on improving AI algorithms, researching new techniques, and deploying models across products like Facebook, Instagram, and WhatsApp. Engineers and researchers in this field work with large datasets, deep learning frameworks, and distributed computing. The role requires expertise in machine learning, software engineering, and data science to enhance Meta's AI-driven capabilities.

What are the key skills and qualifications needed to thrive in the Meta Machine Learning position, and why are they important?

To thrive in Meta Machine Learning, you need a deep understanding of advanced machine learning algorithms, meta-learning techniques, data science, and a degree in computer science or a related field. Experience with tools like Python, TensorFlow, PyTorch, as well as familiarity with cloud computing platforms and relevant certifications (such as AWS Certified Machine Learning Specialty) are highly valuable. Strong analytical thinking, creative problem-solving, and collaborative communication are essential soft skills for excelling in this area. These competencies enable practitioners to develop and optimize meta-learning models, drive innovation, and efficiently work in cross-functional tech teams.

What are some of the main challenges faced in a Meta Machine Learning role?

Professionals in Meta Machine Learning often encounter challenges such as working with limited labeled data, creating models that generalize well across diverse tasks, and optimizing algorithms to learn efficiently from smaller datasets. The fast-paced nature of research and the need to stay updated with cutting-edge advancements in the field can also require continual learning and adaptation. Collaboration with other data scientists, engineers, and domain experts is common, making teamwork and clear communication critical for successful project delivery. Overcoming these challenges not only sharpens technical skills but also offers rewarding opportunities for innovation and career growth in this evolving field.
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Meta Machine Learning jobs near you
Construction Manager - Data Center Design, Engineering, and Construction

Construction Manager - Data Center Design, Engineering, and Construction

Meta

Miami, FL

$150K/yr

Full-time

Posted 5 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 184 rated software companies

Job description

Meta is seeking an experienced Construction Manager to join our Data Center Design, Engineering & Construction team. Our data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Building and operating data centers the "right" way is synonymous with ensuring high uptime, capacity availability and capital conservation. The data center engineering team thinks from chip to chiller (or electrical substation), determining configurations and ensuring maximum efficiency of our compute infrastructure.
Construction Manager - Data Center Design, Engineering, and Construction Responsibilities:
  • Manage the construction, commissioning, and turnover of a Data Center within a campus program
  • Manage the budget associated with the project
  • Manage the cost change process and negotiate best pricing
  • Manage the schedule and associated risks to ensure reliable and predictable turnover dates
  • Manage warranty and tenant improvement work in the live environment when/as necessary
  • Communicate upward regarding the status and risks of the project
  • Negotiate vendor and contractor contracts and purchase orders as needed
  • Mitigate risk for the project through pre-planning, innovative planning, and partnership
  • Develop cost savings solutions and identify project savings/underruns early
  • Partner with the General Contractor and other Vendors to build collaborative relationships
  • Partner with Internal Cross Functional Partners to build collaborative relationships
  • Coordinate needs and asks with the Procurement/Sourcing group(s) to support the needs of the Project
  • Support the pre-construction efforts for upcoming projects
  • Promote prefabrication strategies
  • Support the development of Capital Project Budgets and Constructions ROMs
  • Support the Campus Construction Manager with the campus-wide book of work including contractor, designer, and vendor management
  • Support the on-site inspection process to ensure a zero punch-list and an expeditious turnover to FacOps
  • 10% travel to headquarters and other Meta sites
  • Respond on an as-needed basis to emergencies

Minimum Qualifications:
  • Negotiation skills and experience providing solutions to problems
  • Multi-Project experience in large scale construction management, mission critical, infrastructure, and or data center construction
  • Bachelors in engineering or construction management or equivalent work experience
  • 12+ years of work experience in the construction management industry
  • General knowledge of civil, structural, electrical, and mechanical systems
  • Knowledge of capital budget management and contract administration

Preferred Qualifications:
  • Experience in building datacenters or large commercial type projects preferred
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • 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.
$150,000/year to $209,000/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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