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Meta Engineering Jobs in Pennsylvania (NOW HIRING)

Pfizer

Senior Associate, Metadata Engineering

Collegeville, PA · On-site

$79K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a senior meta-model engineer for the Collibra platform team, you will shape the asset model, build/maintain workflows, external integrations, and guide standards for security, lineage, and ...

World Cafe Live

Marketing Coordinator

Philadelphia, PA · On-site

$17 - $19/hr

... the Director of Programming orimarily to create social media posts for event promotion and ... There will also be responsiblities surrounding weekly digital newsletters, Meta ads, and in-house ...

Saransh Inc

Data Architect (DWH)

Reading, PA · On-site

$61.25 - $78.75/hr

Contract * 14+ years of experience in IT * 12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta ...

Pencor Services

Social Media Internship

Ephrata, PA · On-site

$10/hr

... and live programming using social media. The role is responsible for creating compelling posts ... Understanding of social media platforms (YouTube, Twitter/X and Meta) and scheduling tools

Pencor Services

Social Media Internship

Ephrata, PA · On-site

$10/hr

... and live programming using social media. The role is responsible for creating compelling posts ... Understanding of social media platforms (YouTube, Twitter/X and Meta) and scheduling tools

The Pennsylvania State University

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Deploy solutions to Virtual Reality (VR) and Augmented Reality (AR) platforms including the latest hardware from Meta, Varjo, HTC, and others * Perform systems engineering activities to improve data ...

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Meta Engineering information

What is meta engineering?

Meta Engineering typically refers to the engineering teams at Meta (formerly Facebook), responsible for building and maintaining the infrastructure, tools, and systems that support Meta’s products and services. These engineers work on a wide range of projects, including large-scale distributed systems, data infrastructure, artificial intelligence, and developer tools. Meta Engineering teams play a crucial role in ensuring the reliability, performance, and scalability of platforms like Facebook, Instagram, WhatsApp, and Oculus. Their work enables the company to deliver innovative products and seamless experiences to billions of users worldwide.

How does a meta engineer typically collaborate with cross-functional teams to deliver scalable solutions?

Meta Engineers frequently work alongside product managers, designers, data scientists, and other engineers to architect and deploy scalable systems. This collaboration involves participating in agile sprints, code reviews, and technical design discussions to ensure alignment with business goals. Effective communication and a strong understanding of both backend and frontend technologies are key, as Meta Engineers often bridge gaps between various technical domains. Regular collaboration ensures that solutions are robust, user-centric, and can handle Meta's global scale.

What are the key skills and qualifications needed to thrive as a meta engineer, and why are they important?

To thrive as a Meta Engineer, you typically need strong programming skills, a deep understanding of computer science principles, and a relevant degree in fields like computer science or engineering. Familiarity with large-scale distributed systems, cloud platforms, and proficiency in languages such as Python, Java, or C++—as well as experience with internal Meta tools—are often expected. Problem-solving, collaboration, and effective communication are crucial soft skills for working on complex projects and across teams. These skills enable Meta Engineers to build scalable solutions, innovate efficiently, and contribute to the technological advancement of the company.

What does a Meta engineering do?

Meta engineering typically involves designing, developing, and maintaining software systems and infrastructure for Meta platforms, such as Facebook and Instagram. Engineers in this role work with programming languages, data structures, and cloud tools to improve platform performance, security, and user experience. Strong coding skills and knowledge of system architecture are essential for this position.

What are popular job titles related to Meta Engineering jobs in Pennsylvania?

For Meta Engineering jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Meta Engineering jobs in Pennsylvania look for?

The top searched job categories for Meta Engineering jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Meta Engineering jobs?

Cities in Pennsylvania with the most Meta Engineering job openings:

Meta Engineering jobs near you
Infographic showing various Meta Engineering job openings in Pennsylvania as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Postdoctoral Associate in Meta-Research - UEIS

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities

Job description

Are you a recent Ph.D. graduate in a STEM or social science discipline interested in a career path in meta-research, knowledge synthesis, open science and/or improving the quality and rigor of research? Join the team of Evidence Synthesis specialists and the Open Science Program at Carnegie Mellon University Libraries, where we are working to investigate and promote open science principles within evidence synthesis and meta-research methods as well as computational approaches to improving the efficiency, transparency, reproducibility, and accessibility of research across disciplines.
The Postdoctoral Associate in Meta-Research should be technically and computationally skilled, have a strong understanding of academic research and the research ecosystem and be passionate about building an open and collaborative research community. The successful candidate will develop a research and teaching agenda related to meta-research, evidence synthesis, open science, and research improvement using open source tools and technologies. This is a fixed term 2-year position with 50% of time devoted to research and 50% to teaching and community-building activities.
Meta-research is the study of how research is conducted, communicated, evaluated, and synthesized, with the goal of improving the quality, transparency, efficiency, and impact of research. One emerging area within meta-research is open synthesis, which combines open science principles with evidence synthesis methods such as systematic reviews, scoping reviews, and evidence and gap maps. With the exponential growth of scholarly publishing, increasing demand for evidence-informed decision making, and rapid advances in artificial intelligence and large language models, there is a growing need to investigate questions at the intersection of meta-research, open science, and evidence synthesis. This includes research and capacity-building efforts related to:
  • Improving the openness, accessibility, and interoperability of scholarly information and bibliographic metadata;
  • Developing and evaluating open source software, AI tools, and computational workflows that support evidence synthesis and other forms of meta-research;
  • Advancing transparency, reproducibility, and reporting standards for research and evidence synthesis;
  • Developing living evidence syntheses and workflows for keeping research knowledge current using open bibliographic data and automated methods.

Carnegie Mellon University is well-poised to advance meta-research with one of the first library-based Open Science programs, an Open Source Programs Office, one of the leading Computer Science programs in the world, and a unique Evidence Synthesis Program with deep faculty-librarian collaborations across the university. The Postdoctoral Associate in Meta-Research will work across these departments and units to develop a variety of research and training initiatives.
Core responsibilities will include:
Under the supervision of the Director of the Evidence Synthesis Program, the successful candidate will:
  • Conduct collaborative research in meta-research, including topics such as: transparency and reproducibility in evidence synthesis; computational methods for literature discovery, study selection, and data extraction; evaluation of AI and open source tools that support meta-research workflows; living evidence synthesis methods; and/or bibliographic infrastructure;
  • Teach workshops and develop curriculum on topics such as using large language models for evidence synthesis, using open source software to manage and conduct literature review, and/or the ethical and appropriate use of scholarly information in meta-research;
  • Serve on organizing and programming committees of open science and evidence synthesis events hosted by the Libraries, including the annual Open Science Symposium and an inaugural meta-research hackathon to be held in Spring 2027;
  • Assist in the outreach efforts of the Libraries' Evidence Synthesis Program including the support of research tools such as Sysrev and OpenAlex;
  • Contribute to international research communities, such as Metascience, FORCE11, or ESMARConf, with poster presentations or talks on open synthesis and meta-research.

Adaptability, excellence, and passion are vital qualities within the UEIS. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
You should demonstrate:
  • Strong track record in academic research in a discipline that is well established at CMU (relevant research experience in industry or government also considered);
  • Demonstrated record of teaching excellence in academic settings including hands-on training or training others in computational skills. Interest in refining teaching skills and curriculum development;
  • Experience conducting research on at least one of the following areas: evidence synthesis methods, meta-research, bibliometrics, reproducibility, open science, or scholarly communication;
  • Knowledge of conduct and reporting standards for evidence synthesis (e.g., PRISMA);
  • Understanding of computational reproducibility best practices;
  • Familiarity with machine learning concepts and large language models. Deep expertise is not required, but candidates should be comfortable engaging with these technologies at a foundational level;
  • Knowledge of tools used for reproducible research such as Git/GitHub, Jupyter Notebook, Binder, Docker, Open Science Framework;
  • Strong interpersonal skills with the ability to effectively interact with diverse groups including faculty, students, staff, and administrators;
  • Demonstrated ability to work independently and as part of a team;
  • Excellent organizational, communication, and presentation skills;
  • Dedication to professional development including personal research and scholarship and growth of skills;
  • Interest in contributing to the global open science community.

Qualifications:
  • Ph.D. in a STEM or social science discipline;
  • Strong interest in building an open science community across disciplinary boundaries and advancing the quality and rigor of research and open scholarship;
  • Familiarity with or interest in learning about evidence synthesis and/or bibliometrics methods;
  • Experience with coding and programming in R or Python. Should be proficient enough to work independently with standard packages and troubleshoot basic issues;
  • Enthusiasm for working collaboratively with library personnel on research projects, instructional design, and developing services.

To Apply
A successful candidate would preferably be in place as early as possible. To be considered, please include your CV, a cover letter, and contact information for three references in your application.
We strongly encourage applications from members of groups that have been marginalized and/or underrepresented in academic librarianship and who will contribute to the breadth of our organization.
Deadline: Applications received by August 15 will be given first consideration.
Additional Information:
Sponsorship: Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity. Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon.
Fixed Term: This is a fixed-term position with an estimated duration of two years.
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PA
Job Function
Pre/Post-Doctoral Associates & Fellows
Position Type
Postdoctoral Associate / Fellow (Fixed Term)
Full Time/Part time
Full time
Pay Basis
Salary
More Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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