1

Temporary Meta Machine Learning Jobs in Arizona (NOW HIRING)

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education ... machine learning, and analysis of structural and functional neuroimaging data. If you are ...

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education ... machine learning, and analysis of structural and functional neuroimaging data. If you are ...

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education ... machine learning, and analysis of structural and functional neuroimaging data. If you are ...

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education ... machine learning, and analysis of structural and functional neuroimaging data. If you are ...

CNC Programmer

Tempe, AZ · On-site

$100K/yr

The CNC Programmer will support machine programming, customer training, runoffs, process ... Candidates who enjoy teamwork, variety, travel, and continuous technical learning will find this ...

This role is ideal for a hands-on technician who enjoys diagnosing complex machine issues ... learning, and professional development. Technicians are supported by knowledgeable leadership ...

Set up CNC machines for production by installing tooling, fixtures, work-holding, and machine ... Our workplace fosters continuous learning and development, with the chance to collaborate with ...

New

Set up CNC machines for production by installing tooling, fixtures, work-holding, and machine ... Our workplace fosters continuous learning and development, with the chance to collaborate with ...

New

Stocking Team Associate

Tempe, AZ · On-site

$16 - $29/hr

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

next page

Showing results 1-20

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 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:
Senior Business Analyst, Production Planning, PLEX

Senior Business Analyst, Production Planning, PLEX

Amazon

Tempe, AZ

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,956 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Production Planning Team (PPT) needs leaders like you to deliver the future of labor planning for our North America Customer Fulfillment Network (NACF). At Amazon, delivering great experiences for our customers is a top priority. The PPT is reinventing the way Amazon plans labor as our network continues to grow.

We're setting the bar high with new automated solutions including advanced modeling and machine learning to improve accuracy and efficiency of the process. You can be an owner of this innovation and stamp your place in history as a part of the world's most customer centric company.
To join us on this journey, we are looking for individuals with strong analytical and dive deep skills who will execute high-level network decisions that have an impact at a big scale.

This is a high visibility role responsible for pioneering Amazon's Production Planning Team process with the Planning and Execution (PLEX) organization.
Key job responsibilities
Work with FC and regional leadership team
Build the foundation and implement an innovative model for centralized labor planning across NACF.
Deliver action plans for senior managers and directors, while being a trusted partner to these network leaders.


Leverage central teams (i.e. S&OP, Central Flow, Process Engineering) to drive process and operations execution improvements.
Use data and bias for action to work through ambiguity and deliver results.
A day in the life
"If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!"
"Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3.

Paid Time Off (PTO)
4. 401(k) Plan"


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US