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Meta Machine Learning Jobs in Washington (NOW HIRING)

Meta

Network Engineer, Deployment & Support

Ashburn, VA · On-site

$135K/yr

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 ...

SPA

Data Analyst with Security Clearance

Springfield, VA · On-site

$110K - $150K/yr

This role will support and inform the design of experiments and execution of joint kill chains through machine learning, meta modeling, AI, and neural network analysis. Candidate must be self ...

Intrepid

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

This role will support and inform the design of experiments and execution of joint kill chains through machine learning, meta modeling, AI, and neural network analysis. Candidate must be self ...

Facebook App

Product Manager

Washington, DC

$205K/yr

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 ...

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How much do meta machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for meta machine learning in Washington is $24.16, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $25.87 per hour, depending on experience, location, and employer.

What is a meta machine learning?

A Meta Machine Learning job typically involves developing and optimizing machine learning models at scale, often within Meta (formerly Facebook). These roles focus on improving AI algorithms, researching new techniques, and deploying models across products like Facebook, Instagram, and WhatsApp. Engineers and researchers in this field work with large datasets, deep learning frameworks, and distributed computing. The role requires expertise in machine learning, software engineering, and data science to enhance Meta's AI-driven capabilities.

What are the key skills and qualifications needed to thrive in meta machine learning?

To thrive in Meta Machine Learning, you need a deep understanding of advanced machine learning algorithms, meta-learning techniques, data science, and a degree in computer science or a related field. Experience with tools like Python, TensorFlow, PyTorch, as well as familiarity with cloud computing platforms and relevant certifications (such as AWS Certified Machine Learning Specialty) are highly valuable. Strong analytical thinking, creative problem-solving, and collaborative communication are essential soft skills for excelling in this area. These competencies enable practitioners to develop and optimize meta-learning models, drive innovation, and efficiently work in cross-functional tech teams.

What are some of the main challenges faced in a meta machine learning role?

Professionals in Meta Machine Learning often encounter challenges such as working with limited labeled data, creating models that generalize well across diverse tasks, and optimizing algorithms to learn efficiently from smaller datasets. The fast-paced nature of research and the need to stay updated with cutting-edge advancements in the field can also require continual learning and adaptation. Collaboration with other data scientists, engineers, and domain experts is common, making teamwork and clear communication critical for successful project delivery. Overcoming these challenges not only sharpens technical skills but also offers rewarding opportunities for innovation and career growth in this evolving field.

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

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

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

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

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

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

What cities in Washington are hiring for Meta Machine Learning jobs?

Cities in Washington with the most Meta Machine Learning job openings:

Meta Machine Learning jobs near you
Infographic showing various Meta Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $50,246 per year, or $24.2 per hour.

Network Engineer, Deployment & Support

Meta

Ashburn, VA • On-site

$135K/yr

Full-time

Re-posted 22 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta's Edge & Network Services (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 data center 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 install packages and maintain as-built documentation and asset database for network and computing equipment
  • 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 network infrastructure 24x7
  • 10-30% travel based on project

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ 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

Preferred Qualifications:
  • Working knowledge of 40/100G Ethernet and CWDM, DWDM and optical transport network technologies
  • Experience with field-based work in Data Centers, Colocation Facilities, Internet Exchanges, or Central Offices
  • Working knowledge of data center power and cooling infrastructure and critical facility operational best practices
  • Familiarity with the Linux based systems. • Experience with scripting and automation (Bash, Python, Perl)
  • Technical leadership and people management experience
  • 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.
$135,000/year to $191,000/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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