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Contract Meta Machine Learning Jobs in Dallas, TX

Meta

Network Engineer, Optical Deployment

Garland, TX · 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 ...

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How much do contract meta machine learning jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for contract meta machine learning in Dallas, TX is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $22.60 per hour, depending on experience, location, and employer.

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are popular job titles related to Contract Meta Machine Learning jobs in Dallas, TX?

For Contract Meta Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Contract Meta Machine Learning jobs in Dallas, TX look for?

The top searched job categories for Contract Meta Machine Learning jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Contract Meta Machine Learning jobs?

Cities near Dallas, TX with the most Contract Meta Machine Learning job openings:

Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 15% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $43,885 per year, or $21.1 per hour.

Network Engineer, Deployment & Support

Garland, TX

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$106K/yr

Full-time

Posted 11 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is looking for an Optical Network Deployment Engineer to join a team responsible for planning and executing network deployments and migrations across one of the world's largest and most complex backbone, edge, and optical networks. As a member of this team, you will have a unique opportunity to work on projects related to the planning, implementation, and scaling of Meta's AI network infrastructure. This team is responsible for planning and executing network migrations for one of the world's largest AI backbone and edge networks. As a Network Deployment Engineer, you will propose new ideas, gather constructive feedback from others, and drive these ideas to implementation.
Network Engineer, Deployment & Support Responsibilities:
  • Proactively partner with backbone engineering, capacity planning, business, and operations teams to synthesize complex cross-functional requirements into scalable infrastructure solutions
  • Plan, schedule, and execute complex deployments and migrations across Meta's optical backbone network, including long-haul terrestrial, regional metro, and subsea segments connecting data centers and PoP sites
  • Make independent, high-impact technical and planning decisions affecting backbone network deployment and operations
  • Provide technical expertise on network deployment and migration across data centers and POPs, spanning space & power, configuration, testing, and production handoff
  • Collaborate on strategic road mapping and organizational initiatives to prioritize scalable, efficient, and reliable network migrations aligned with business goals
  • Contribute to Optical Transport Network (OTN) deployment/migration strategies of network architecture spanning data centers, backbone, edge, and cloud platforms
  • Create and analyze network code, automate network configurations and migrations through scripting, and leverage AI to enhance network operations
  • Work cross-functionally to generate implementation plans including Method of Procedure (MOP), Bill of Materials (BOM), and Engineering Design Packages (EDP)
  • Maintain standards for all builds and design packages for metro, regional and long-haul DWDM rings/systems
  • Serve as a representative in large-scale program initiatives, driving alignment and execution across teams and stakeholders
  • Manage partner engineering team relationships to enable the team(s) to effectively meet business needs
  • Manage key vendor relationships including contract negotiations, pricing, and evaluation of current and potential partnerships
  • Drive alignment on workflow management tooling requirements, focusing on efficiency and automation roadmaps
  • Leverage a data driven approach to influence business and network health metrics

Minimum Qualifications:
  • 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
  • 5+ years of experience in optical network engineering, design, or deployment with expertise in DWDM, ROADM, OTN (G.709), and coherent optics (400G/800G)
  • Experience with optical line systems and transponder platforms (e.g., Ciena, Nokia, Infinera, or equivalent)
  • Demonstrated expertise in architecting and deploying complex network solutions across data centers, backbone, edge, and public cloud environments
  • Experience with field-based work in 3rd Party Network Collocation Facilities, Internet Exchanges, Data Center, Central Offices, etc
  • Track record of defining and executing successful network strategies with measurable, organization-wide impact
  • Experience analyzing technical data to inform decisions, communicating risks and trade-offs to technical and non-technical stakeholders, and collaborating across teams to deliver results in large-scale network environments
  • Experience in communicating risks and action plans to stakeholders as well as building relationships and collaboration within a cross-functional team and business leaders
  • Willingness to travel approximately 10% of the time

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
  • Experience working in a Data Center, DC architecture and issues related to data center networks
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience building automation solutions (e.g., Python, Go) and working with network configuration management tooling
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Working knowledge of Artificial Intelligence / Machine Learning models
  • Advanced degree (Master’s, PhD) in Computer Science, Engineering, or related discipline

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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