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Temporary Meta Machine Learning Jobs in Arizona (NOW HIRING)

Stocking Team Associate

Mesa, AZ · On-site

$16 - $29/hr

Employment Type: Part-Time, Temporary Available shifts: Overnight Location Neighborhood Market ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Stocking Team Associate

Phoenix, AZ · On-site

$16 - $29/hr

Temporary Available shifts: Opening, Morning Location Walmart Supercenter #6477 9600 N METRO PKWY W ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

DevOps Engineer

Phoenix, AZ · On-site

$60 - $66.67/hr

Temporary Salary: $60-66.67 Hourly Start Date: Aug 10, 2026 Aquent is proud to partner with a ... Experience with Windows Server environments (2016, 2019, 2022) hosted via Virtual Machine. * Strong ...

Showing results 21-36

Temporary Meta Machine Learning information

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 are the most commonly searched types of Meta Machine Learning jobs in Arizona?

The most popular types of Meta Machine Learning jobs in Arizona are:

What are popular job titles related to Temporary Meta Machine Learning jobs in Arizona?

For Temporary Meta Machine Learning jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Temporary Meta Machine Learning jobs in Arizona look for?

The top searched job categories for Temporary Meta Machine Learning jobs in Arizona are:

What cities in Arizona are hiring for Temporary Meta Machine Learning jobs?

Cities in Arizona with the most Temporary Meta Machine Learning job openings:

Packaging Specialist- Night shift 7pm-7:30am start at $20.60hr.

Graham Packaging Company

Casa Grande, AZ • On-site

$20.60/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Graham Packaging rating

7.0

Company rating: 7.0 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

71st of 121 rated packaging manufacturers


Job description

Company Statement
Graham Packaging is a people, planet and values-based company and a leader in sustainable packaging manufacturing. From the kitchen to the laundry room, Graham Packaging is part of your everyday life.
For employees at Graham, our Blue Culture is part of their everyday lives, too. In other words, Blue is how we do things here.
At Graham, we are united by a clear vision. We know our part and help those around us know theirs, encouraging one another to continuously improve. We create a safe, challenging environment to innovate by supporting creative ideas and new ways of thinking. We take the initiative to cultivate our individual growth and help others do the same, while keeping ourselves and one another accountable. And we actively promote cooperation, collaboration, integrity and respect across regions and teams to foster an engaged, diverse and connected workforce.
We value our employees, and a Blue Culture allows for the most rewarding employee experience as part of the Graham family. Blue is how we feel about what we do-together-to create a better tomorrow. Working at Graham means you lead constructively with clear goals, use diverse thinking to drive excellence, accountability, innovation, as well as demonstrating collaboration, embracing learning, and taking action for continuous improvement and growth.
Overview
Graham Packaging Company is looking for a Packaging Specialist based in Casa Grande, AZ. This opening is for Night Shift , which operates during the hours of 7:00pm - 7:30am.
Packaging Specialists are responsible for general housekeeping of the production area, case making, inspecting, and packing of finished product in accordance with established procedures, specifications and other guidelines. The primary duties of a Packaging Specialist include:
  • Understands, follows and enforces all established safety, health, quality GMP and Company policies, procedures and recognized practices.
  • Understands, follows and enforces all established policies, procedures and recognized practices.
  • Participate in continuous quality improvement projects and other related activities as assigned.
  • Visually inspect finished product for defects before packing to ensure quality.
  • Follow written packing instructions.
  • Notify supervisor or lead of potential problems with finished product and/or machinery.
  • Grind bottles as necessary, checking for contamination before grinding
  • Open and inspect bundles of corrugated material and check for proper printing and defects.
  • Stack case/dividers on carts and feed individual cases and dividers into case forming machine.
  • Use case making equipment in a safe manner.
  • Notify the appropriate coworker or assignee when supplies at the machine need to be replenished.
  • Communicate with incoming shift or line replacement on any problems with quality, machine, and packing configurations.
  • Assist with rework and heldware to ensure effective completion.
  • Assist in the training of regular and temporary workforce in stacking, packing quality, and case machines.
  • Keep work area and other facilities clean, orderly and safe.
  • Complete written documentation as required.
  • Limited travel may be required

Qualifications
Previous manufacturing experience a plus.
Packaging Specialists are required to interact with managers, employees, vendors, and customers. Therefore, the following skills and proficiencies are also essential requirements of the position:
  • Ability to maintain regular, predictable, and punctual attendance.
  • Computer usage and typing skills are essential.
  • Excellent verbal and written communication, including the ability to effectively communicate with internal and external customers.
  • Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service.
  • Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices.
  • Communicates effectively: conveys facts and information clearly both verbally and orally.
  • Collaborates well with others: proactively contributes to group objectives; volunteers to help others.

Compensation Statement
The expected salary range for the position described in this posting is made in accordance with the legal mandates of certain jurisdictions within the United States. The final agreed-upon compensation is based on individual qualifications and experience.
Benefits Statement
Benefits include medical, dental, vision and basic life insurance. Employees are able to enroll in the company's 401K Employee Saving Plan and may participate in its Employee Wellness Program. Employees will also receive paid time off in accordance with company policy and state law requirements.
EEO Disclaimer
Graham Packaging is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex (including pregnancy), sexual orientation, religion, creed, age, national origin, physical or mental disability, gender identity and/or expression, marital status, veteran status or other characteristics protected by law.

What Graham Packaging employees say

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Graham Packaging logo

About Graham Packaging

Sourced by ZipRecruiter

Graham Packaging is a people, planet and values-based company and a leader in sustainable packaging manufacturing. From the kitchen to the laundry room, Graham Packaging is part of your everyday life. For employees at Graham, our Blue Culture is part of their everyday lives, too. In other words, Blue is how we do things here.

Industry

Plastics and rubber products manufacturing

Company size

10,000+ Employees

Headquarters location

York, PA, US

Year founded

1970