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Temporary Meta Machine Learning Jobs in Tennessee

Aerotek

Machine Operator

Lebanon, TN · On-site

$22.58/hr

Mechanically inclined and open to learning machine operations. * Prior experience in a stamping ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

Compunnel, Inc.

Production Associate

Springfield, TN · On-site

$19/hr

This position is responsible for assisting machine operators, operating production equipment ... A leader in contingent and permanent workforce solutions, we also provide temp-to-hire staffing ...

New

Walmart

DIH O/N Team Associate

Rogersville, TN · On-site

Temporary Available shifts: Overnight Location Walmart Supercenter #3234 4331 HIGHWAY 66 S ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Manchester, TN · On-site

$14 - $27/hr

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

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All JobsMeta Machine Learning JobsTemporary Meta Machine Learning JobsTemporary Meta Machine Learning Jobs in Tennessee

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 Tennessee? The most popular types of Meta Machine Learning jobs in Tennessee are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Tennessee? For Temporary Meta Machine Learning jobs in Tennessee, the most frequently searched job titles are:
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What cities in Tennessee are hiring for Temporary Meta Machine Learning jobs? Cities in Tennessee with the most Temporary Meta Machine Learning job openings:
Temporary Meta Machine Learning jobs near you

Network Engineer, Deployment & Support

Meta

Gallatin, TN

$106K/yr

Full-time

Re-posted 5 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 241 rated software companies

Job description

Meta's Edge & Network Service (ENS) team is actively looking for passionate people to help us tackle the unique set of challenges and opportunities we face, while contributing to our company mission of connecting the world. Our team is the execution arm of the Meta network team and is responsible for the deployment and support of all production networks (Edge, Backbone, Optical, and Datacenter) as well as our content delivery network (CDN) across the globe. This truly global team offers a unique career opportunity to work with all of the latest network technologies and talented engineers solving some of the most complex problems in the industry.
Network Engineer, Deployment & Support Responsibilities:
  • Deployment, configuration, and management of all network infrastructure on our datacenter campus
  • Work with partner teams and vendors to manage day-to-day operations and reliability of the regional network
  • Schedule and perform maintenance including upgrades, migrations, and decommissioning of production networks
  • Create deployment packages and maintain as-built documentation and asset database for installed network gear
  • Establish and implement global best practices and contribute to the design of new scalable network solutions
  • Support the development, testing and integration of new hardware and software platforms into the network
  • Participate in an on-call rotation to support the regional network infrastructure 24/7
  • 10% of travel required, up to 30% based on projects

Minimum Qualifications:
  • 4+ years of work experience responsible for designing, deploying and operating large-scale networks
  • Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, MPLS, RSVP-TE, VRRP)
  • Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6
  • Experience working in a multi-vendor environment with hands-on experience with networking hardware
  • Working knowledge of physical infrastructure design including structured cabling and fiber-optic cabling
  • Proven experience managing multiple projects simultaneously and deliver against mission critical deadlines
  • Proven experience working in a global team environment and solving problems with limited supervision
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Preferred Qualifications:
  • Technical leadership and people management experience
  • Working knowledge of data center power and cooling infrastructure and critical facility operational best practices
  • Experience with field-based work in Data Centers, Colocation Facilities, Internet Exchanges, or Central Offices
  • Familiarity with the Linux based systems and experience with scripting and automation (Bash, Python, Perl)
  • Working knowledge of 40/100G Ethernet and CWDM, DWDM and optical transport network technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$106,995/year to $159,000/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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