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Temporary Meta Machine Learning Jobs in Pageland, SC

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

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Temporary Meta Machine Learning information

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How much do temporary meta machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for temporary meta machine learning in Pageland, SC is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $24.18 per hour, depending on experience, location, and employer.

What is a temporary Meta machine learning job?

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 key skills and qualifications needed to thrive as a temporary Meta machine learning engineer?

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 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 cities near Pageland, SC are hiring for Temporary Meta Machine Learning jobs?

Cities near Pageland, SC with the most Temporary Meta Machine Learning job openings:

Infographic showing various Temporary Meta Machine Learning job openings in Pageland, SC as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $45,017 per year, or $21.6 per hour.

WAE - Quantum Algorithms Researcher

LSU AgCenter

Patrick, SC

Part-time

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago


Key responsibilities

  • Develop, test, and apply quantum computing workflow or quantum-inspired approaches to analyze datasets from sensing systems or energy-industry-relevant problems.

  • Contribute to publishable research outcomes, including technical documentation, presentations, and journal or conference papers based on project results.


Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:WAE - Quantum Algorithms ResearcherPosition Type:Wages as Earned (Fixed Term)Department:LSUAM Engineering - Petroleum - Integrated Petroleum Engineering and Analytics Research (Jyotsna Sharma (00057933))Work Location:3207 Patrick F. Taylor HallPay Grade:TemporaryJob Description:

The Petroleum Engineering department at Louisiana State University is seeking a motivated researcher or engineer to develop, test, and apply quantum computing workflow or quantum-inspired approaches to analyze datasets from sensing systems or energy-industry-relevant problems. The project may also involve signal processing, machine learning, or other computational techniques. The exact project scope may be refined based on program needs and the candidate's expertise.

100% Develop, test, and apply quantum computing workflow or quantum-inspired approaches to analyze datasets from sensing systems or energy-industry-relevant problems. Contribute to publishable research outcomes, with deliverables including technical documentation, presentations, and a journal manuscript or conference paper based on the project results.

Minimum Qualifications

Bachelors degree in computer science, electrical engineering, physics, applied mathematics, or closely related field.

Strong programming experience in Python and familiarity with machine learning.

Preferred Qualifications

Ph.D. in computer science, electrical engineering, physics, applied mathematics, or closely related field.

Experience with quantum algorithms, quantum computing, quantum annealing, variational quantum circuits, quantum machine learning, or quantum-inspired optimization.

Experience with quantum software frameworks such as Qiskit, PennyLane, Cirq, D-Wave Ocean, TensorFlow Quantum, or similar tools.

Pay will be commensurate with education and experience. Sponsorship is not available for this position.

Additional Job Description:Special Instructions:For questions regarding this position, please contact the hiring manager, Dr. Jyotsna Sharma, at jsharma@lsu.edu.

Skills Needed:

Preferred Skills:

Posting Date:August 7, 2026Closing Date (Open Until Filled if No Date Specified):December 7, 2026Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):LSU is an Equal Opportunity Employer.

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions.

HCM Contact Information:

For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.