Meta E-3 Visa Sponsorship Jobs USA
Meta Platforms is one of the more active E-3 visa sponsors in the U.S. technology sector, with a consistent track record of filing for Australian professionals in software engineering, machine learning, product management, and technical program management roles. Australian candidates with strong technical credentials will find Meta a credible E-3 target.
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A role serving as a key horizontal driver on evals efforts across teams – leading sprints, devising and executing automation strategies for manual efforts, and coordinating resources with PMs. This leader will be expected to take on highest priority work and flex as we continue to transform the team and uplevel the AI capabilities at all levels. Meta’s Product Content Engineering team is responsible for the content experiences across platforms and products. PCE works in close partnership with engineering, product, and partnerships teams to improve the discovery and distribution of content to drive value for users at scale. The work is time-sensitive and innovative, situated at the intersection of content expertise and Meta’s industry-leading ranking and delivery systems. The main function of a content engineer is to define and execute a content strategy that aims to significantly improve the product experience for consumers. The ideal Content Engineer has technical expertise combined with a capacity to drive change in ambiguous, fast-paced and high growth environments. They will be expected to perform data analytical work, comprehend complex recommendation systems, and test hypotheses while driving alignment across a wide cross-functional team to deliver business impact at scale.
PCE Evals Lead Responsibilities:
- Develop and execute strategies for FoA product teams to evaluate LLM models at scale across content work
- Lead sprints for LLM model evaluations and auto judge creation in core PCE areas, while devising and implementing systems to increase evals capacity in areas involving the building of AI creator tools, content quality, content understanding and Search
- Understand technical product needs and translate those into actionable direction for content-focused cross-functional teams
- Understand Meta’s strategic and competitive position and deliver content strategies and product solutions that are aligned with our mission and recognized best in the industry
- Define emergent opportunities and drive impact via execution in highly ambiguous areas. Agile support and flexibility is required
MINIMUM QUALIFICATIONS:
- 8+ years of demonstrated experience driving relevance on content platforms, with experience with video creators, ranking systems, content strategy, content labeling and analysis
- 1+ years working with GenAI products, prompt engineering, annotation, and/or content labeling and analysis
- Expertise in developing and implementing high-quality datasets, annotations, and evaluation metrics that drive the training and improvement of generation models
- Experience working independently and autonomously
- Previous experience collaborating with product and technical teams
- Proven knowledge of industry trends and news
- Experience leading and collaborating on cross-functional projects to build products, respond to urgent needs, preempt issues and address concerns in collaborative and timely fashion
- The Content Engineer should be experienced in content production and understanding, strategy and analysis to execute across a variety of projects, ideally in multiple languages
PREFERRED QUALIFICATIONS:
- 5+ years of work experience in product management, data analytics, or content operations in a leading content platform
- 2+ years of experience working closely with ranking teams
- Experience in data visualization and tools such as Tableau
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.
COMPENSATION
- $242,000/year to $296,000/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.
INTRODUCTION
A role serving as a key horizontal driver on evals efforts across teams – leading sprints, devising and executing automation strategies for manual efforts, and coordinating resources with PMs. This leader will be expected to take on highest priority work and flex as we continue to transform the team and uplevel the AI capabilities at all levels. Meta’s Product Content Engineering team is responsible for the content experiences across platforms and products. PCE works in close partnership with engineering, product, and partnerships teams to improve the discovery and distribution of content to drive value for users at scale. The work is time-sensitive and innovative, situated at the intersection of content expertise and Meta’s industry-leading ranking and delivery systems. The main function of a content engineer is to define and execute a content strategy that aims to significantly improve the product experience for consumers. The ideal Content Engineer has technical expertise combined with a capacity to drive change in ambiguous, fast-paced and high growth environments. They will be expected to perform data analytical work, comprehend complex recommendation systems, and test hypotheses while driving alignment across a wide cross-functional team to deliver business impact at scale.
PCE Evals Lead Responsibilities:
- Develop and execute strategies for FoA product teams to evaluate LLM models at scale across content work
- Lead sprints for LLM model evaluations and auto judge creation in core PCE areas, while devising and implementing systems to increase evals capacity in areas involving the building of AI creator tools, content quality, content understanding and Search
- Understand technical product needs and translate those into actionable direction for content-focused cross-functional teams
- Understand Meta’s strategic and competitive position and deliver content strategies and product solutions that are aligned with our mission and recognized best in the industry
- Define emergent opportunities and drive impact via execution in highly ambiguous areas. Agile support and flexibility is required
MINIMUM QUALIFICATIONS:
- 8+ years of demonstrated experience driving relevance on content platforms, with experience with video creators, ranking systems, content strategy, content labeling and analysis
- 1+ years working with GenAI products, prompt engineering, annotation, and/or content labeling and analysis
- Expertise in developing and implementing high-quality datasets, annotations, and evaluation metrics that drive the training and improvement of generation models
- Experience working independently and autonomously
- Previous experience collaborating with product and technical teams
- Proven knowledge of industry trends and news
- Experience leading and collaborating on cross-functional projects to build products, respond to urgent needs, preempt issues and address concerns in collaborative and timely fashion
- The Content Engineer should be experienced in content production and understanding, strategy and analysis to execute across a variety of projects, ideally in multiple languages
PREFERRED QUALIFICATIONS:
- 5+ years of work experience in product management, data analytics, or content operations in a leading content platform
- 2+ years of experience working closely with ranking teams
- Experience in data visualization and tools such as Tableau
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.
COMPENSATION
- $242,000/year to $296,000/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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Get Access To All JobsTips for Finding Meta E-3 Visa Sponsorship Jobs USA
Align your degree to Meta's role taxonomy
Meta's E-3 filings skew heavily toward roles requiring a directly related degree, not just any technical background. Before applying, verify your degree field maps to the specific job title using O*NET to confirm the specialty occupation classification matches your credentials.
Target teams with recurring E-3 filing history
Meta's infrastructure, AI research, and ads engineering teams have demonstrated consistent E-3 hiring patterns. Prioritizing roles within these organizations improves your odds of finding a hiring manager already familiar with the E-3 process and willing to file promptly.
Confirm prevailing wage compliance before negotiating
Meta's LCA must certify your offered salary meets the DOL prevailing wage for your role and location. Use the OFLC Wage Search to look up the applicable wage level before your offer discussion so you can negotiate from an informed baseline.
Get your DS-160 and supporting documents ready early
Once Meta's HR team submits the certified LCA, the consular appointment can move quickly. Having your DS-160 completed, passport validity confirmed, and degree credentials organized before the offer stage prevents delays at the Sydney, Melbourne, or Perth consulate.
Use Migrate Mate to file your E-3 efficiently
After Meta certifies your LCA, the filing steps are yours to manage. Migrate Mate handles the E-3 application paperwork with a dedicated visa expert, so you're not navigating USCIS requirements alone while also coordinating your start date with Meta's onboarding team.
Clarify Meta's internal process for E-3 versus H-1B
Meta sponsors both E-3 and H-1B visas, and internal routing between immigration teams can vary. Confirm explicitly with your recruiter that your file is being handled as an E-3 case, since the timelines, consulate requirements, and LCA wage levels differ significantly from H-1B processing.
Meta E-3 Visa Sponsorship: Frequently Asked Questions
Does Meta Platforms sponsor E-3 visas?
Yes, Meta Platforms sponsors E-3 visas for Australian nationals in qualifying specialty occupation roles. Meta has an established immigration program that handles E-3 filings, particularly for technical and engineering positions. Australian candidates should confirm E-3 eligibility directly with the recruiter during the offer stage, as internal routing can vary by team.
Which roles at Meta Platforms typically qualify for E-3 sponsorship?
E-3 sponsorship at Meta most commonly applies to software engineering, machine learning engineering, product management, data science, and technical program management roles. These positions typically satisfy the specialty occupation requirement because they mandate a directly related bachelor's degree. Research roles in AI and infrastructure have also seen consistent E-3 filing activity.
How do I navigate the E-3 application process at Meta Platforms?
Meta's immigration team files the Labor Condition Application with DOL on your behalf after you accept an offer. Once the LCA is certified, you complete the DS-160, schedule a consular interview in Australia, and attend your appointment with the certified LCA, offer letter, and degree credentials. Migrate Mate can help you manage the application steps on your end.
How long does E-3 sponsorship take at Meta Platforms?
The DOL typically certifies an LCA within seven business days. After that, consular appointment availability in Sydney, Melbourne, or Perth is the main variable, ranging from a few weeks to over a month depending on current demand. Meta's immigration team generally moves efficiently once an offer is accepted, but build buffer into your start date planning.
How do I strengthen my E-3 application for a role at Meta Platforms?
Confirm your degree field directly maps to the job title before applying, since Meta's LCA filings are occupation-specific. Review the applicable DOL prevailing wage using the OFLC Wage Search so your salary expectations align with what Meta can certify. Having your degree transcripts and supporting credentials organized before the offer stage also speeds up the process significantly.
What is the prevailing wage for E-3 sponsorship at Meta Platforms?
E-3 employers must pay at least the prevailing wage, determined when they file a Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, ensuring Australian hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.