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Temporary Meta Machine Learning Jobs in Florida (NOW HIRING)

Meta

Creative Strategist

Miami, FL · On-site +1

$73K/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 ...

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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:
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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
Creative Strategist

Creative Strategist

Meta

Miami, FL • On-site, Remote

$73K/yr

Full-time

Posted 3 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 rated software companies

Job description

In this role, you will apply AI-driven approaches to transform how we develop marketing strategies? As a Creative Strategist, you'll have the opportunity to harness the power of AI to transform the way we approach marketing. From tapping into insights through Large Language Models (LLMs) to ideating with tools like Meta AI, and producing content that resonates with our audience, AI is reshaping how marketing content is developed and delivered.We're not just building campaigns, we're building systems of ideas that can feed our auction and maximize our discovery engine. This means we can make the most out of our complex platform ecosystem and deliver results that truly drive business growth.As a member of our team, you'll be part of an experienced group of creatives who leverage AI to develop innovative marketing approaches. You'll have the opportunity to work on high-profile campaigns for some of the world's most exciting brands, and to develop strategies that drive engagement, build brand awareness, and ultimately, drive business results.If you are interested in applying creativity and technology together to solve marketing challenges, we encourage you to apply.
Creative Strategist Responsibilities:
  • Set creative strategy and build strategic plans that prioritize the biggest opportunities for business results for both clients and Meta
  • Build relationships and influence with client teams across sales, creative, and agency - that positions Meta for success with large scale companies
  • Build creative solutions that inspire, influence and drive client action
  • Operationalize creative data, metrics and insights approach that identifies the right creative challenges and blockers, tracks progress, and delivers long term sustainable progress
  • Coordinate and align multiple internal cross-functional partnerships that navigate different goals and enable collaborative success
  • Identify client’s creative challenges and developing, deploying and scaling effective ideas and solutions

Minimum Qualifications:
  • Hands on experience building persuasive presentations, mockups and videos

Preferred Qualifications:
  • Experience applying AI tools (e.g., generative AI, large language models) to content creation or marketing workflows
  • Consultancy background
  • Data Science experience/knowledge
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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.
$73,008/year to $114,000/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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