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Temporary Meta Machine Learning Jobs in Florida (NOW HIRING)

Meta

Campus Construction Manager

Miami, FL

$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 ...

Unicon Pharma Inc.

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... Experience with machine learning frameworks like TensorFlow or PyTorch. Education: Minimum Master ...

California State University

$100/hr

Situated above the city of Hayward, the campus offers an ideal setting for teaching and learning ... Use appropriate court reporting methods with a steno machine, real-time technology, software, and ...

California State University

$100/hr

Situated above the city of Hayward, the campus offers an ideal setting for teaching and learning ... Use appropriate court reporting methods with a steno machine, real-time technology, software, and ...

SynergisticIT

AI / ML Engineer

Miami, FL

$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 ...

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

Truist

Fraud Data Scientist II

Orlando, FL · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

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All JobsMeta Machine Learning JobsTemporary Meta Machine Learning JobsTemporary Meta Machine Learning Jobs in Florida

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 Florida? The most popular types of Meta Machine Learning jobs in Florida are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Florida? For Temporary Meta Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Florida look for? The top searched job categories for Temporary Meta Machine Learning jobs in Florida are:
What cities in Florida are hiring for Temporary Meta Machine Learning jobs? Cities in Florida with the most Temporary Meta Machine Learning job openings:
Temporary 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 17 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

120th of 186 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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