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Temporary Meta Machine Learning Jobs in Florida (NOW HIRING)

Machinist Operator

Jupiter, FL ยท On-site

$25 - $35/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Position Summary ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

Machinist Operator

Juno Beach, FL ยท On-site

$25 - $35/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Position Summary ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

Machinist Operator

Vero Beach, FL ยท On-site

$25 - $35/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Position Summary ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert consultation on ...

Machinist Operator

Stuart, FL ยท On-site

$25 - $35/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Position Summary ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

Machinist Operator

Deerfield Beach, FL ยท On-site

$25 - $35/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Position Summary ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click ... machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert consultation on ...

Machinist Operator

Deerfield Beach, FL ยท On-site

$25 - $35/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Position Summary ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Position Summary ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Position Summary ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

Machinist Operator

North Palm Beach, FL ยท On-site

$25 - $35/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Position Summary ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

Machinist Operator

Jupiter, FL ยท On-site

$25 - $35/hr

Temp To Perm. * Immediate placement. * PTO. * Paid Holidays. * Health Benefits. Position Summary ... Machine parts to specifications using CNC multi-axis equipment such as lathes, milling machines ...

Digital Personalization Manager

Orlando, FL ยท On-site +1

$78 - $81/hr

Temporary Salary: $78-81 Hourly $77 - $81 / hourly as W2 Start Date: Jun 22, 2026 Digital ... Familiarity with AI/Machine Learning applications in content delivery. #LI-MG1

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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:

Digital Media Planner, Latin Regional Management

Sony Music Global Job Board

Miami, FL โ€ข On-site

Full-time

Posted 17 days ago


Job description

We are looking for a Digital Media Planner to support paid media strategy and campaign execution across multiple markets. This role will work closely with regional marketing teams to plan, optimize, and analyze digital advertising campaigns that drive audience growth, engagement, and consumption for priority artists and releases.
The ideal candidate has strong experience in digital media planning, performance marketing, and campaign analytics, with the ability to collaborate across international teams and adapt strategies across different platforms and audiences.
What you'll do:
Media Planning & Strategy
  • Develop paid media plans aligned with marketing priorities for artist campaigns, releases, and project initiatives.
  • Identify optimal platform mix, targeting strategies, and budget allocation across digital channels.
  • Translate marketing objectives into performance-driven media strategies.

Campaign Execution & Optimization
  • Work with internal teams and agency partners to launch, manage, and optimize campaigns across platforms such as:
    • Meta (Instagram / Facebook)
    • TikTok
    • YouTube / Google
    • Programmatic and display platforms
    • Emerging platforms
  • Monitor performance and adjust campaigns to maximize reach, engagement, and conversion metrics.

Analytics & Reporting
  • Track campaign performance and deliver actionable insights and reporting.
  • Analyze audience and platform data to refine targeting strategies and improve ROI.
  • Build performance dashboards and post-campaign recaps for key stakeholders.

Cross-Market Collaboration
  • Work with regional and local marketing teams across multiple territories to align media strategy with campaign goals.
  • Coordinate with creative, influencer, and digital marketing teams to ensure campaign cohesion.

Who you are:
  • 3-6+ years experience in digital media planning or performance marketing
  • Experience running campaigns on Meta Ads Manager, Google Ads, TikTok Ads Manager, and YouTube
  • Strong analytical and reporting skills
  • Experience with music, entertainment, or creator-driven marketing campaigns preferred
  • Ability to manage multiple campaigns across different markets simultaneously
  • Bilingual: English and Spanish required
What we give you:
  • Temporary contract
  • An opportunity to fuel the creative journey on a global stage
  • A modern, diverse and innovative work environment, with offices that include collaboration areas, cafeterias, event spaces, and more
  • An investment in your learning & development

Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law.