Top 9 machine learning engineer Jobs in aiken, sc

Network Engineer, Deployment & Support
Meta —Aiken, SC
- $106,995 - $159,000 a year
- On call
- Computer science
- Computer Science
- Mid-level
Network Engineer, Foundations and Support
Meta —Aiken, SC
- $106,995 - $159,000 a year
- Computer science
- Computer Science
- Bachelor's degree
Automation and Controls Engineer
Owens Corning —Aiken, SC
- Weekends as needed
- Management
- 5 years
- Engineering
4d
Senior Data Engineer
GeoYeti —Augusta, GA
- Full-time
- 5 years
- Bachelor of Science
- Java

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machine learning engineer jobs near aiken, sc

Network Engineer, Deployment & Support

Meta -
Aiken, SC

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Job Details

$106,995 - $159,000 a year

Qualifications

Network topology design
Managing projects in an engineering role
IPv6
Computer hardware
Hardware support
Design engineering
Managing projects
Network routing
Production troubleshooting

Full 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 [email protected].

$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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machine learning engineer jobs in aiken, sc

Network Engineer, Deployment & Support

Network Engineer, Foundations and Support

Automation and Controls Engineer

Senior Data Engineer

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