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Meta University Jobs in California (NOW HIRING)

Chapman University

Student Tutor

Orange, CA · On-site

$16.90/hr

Undergrad Anticipated Pay Range $16.90 Pay Range Information Chapman University is required to ... solving, meta-cognition, and clinical reasoning to the degree possible. Enter when posting ...

Chapman University

Student Tutor

Orange, CA · On-site

$16.90/hr

Undergrad Anticipated Pay Range $16.90 Pay Range Information Chapman University is required to ... solving, meta-cognition, and clinical reasoning to the degree possible. Enter when posting ...

AfterQuery

Technical Recruiter

San Francisco, CA · On-site

$110K - $130K/yr

Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan ... Source candidates from AI labs, high-growth startups, big tech, quant firms, and elite universities.

Rejuvenation

Analyst, Paid Social

San Francisco, CA · On-site

The Paid Social team manages campaigns across Meta, Pinterest, TikTok, and emerging social ... In-person and online learning opportunities through WSI University * Cross-brand and cross-function ...

Williams-Sonoma

Analyst, Paid Social

San Francisco, CA · On-site

The Paid Social team manages campaigns across Meta, Pinterest, TikTok, and emerging social ... In-person and online learning opportunities through WSI University * Cross-brand and cross-function ...

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Meta University information

What is Meta University?

Meta University is a paid summer internship program offered by Meta (formerly Facebook) for undergraduate students interested in pursuing careers in technology. The program is designed to provide students from underrepresented backgrounds with mentorship, technical training, and hands-on experience working on real projects at Meta. It typically lasts for 8-12 weeks and includes opportunities to network with professionals, attend workshops, and build valuable skills that can lead to future employment in the tech industry.

What types of collaborative projects do interns typically work on during the Meta University program?

During the Meta University internship, participants often collaborate on real-world projects alongside experienced engineers and cross-functional teams. These projects are designed to address current challenges faced by Meta’s products and services, allowing interns to make meaningful contributions while developing their technical and teamwork skills. Interns can expect to regularly participate in code reviews, brainstorming sessions, and presentations, often working closely with mentors and fellow interns. This collaborative environment helps build a strong professional network and provides insights into Meta’s agile development processes.

What are the key skills and qualifications needed to thrive as a Meta University intern, and why are they important?

To thrive as a Meta University Intern, you typically need foundational knowledge in computer science, programming, and data structures, supported by progress toward a relevant degree. Familiarity with languages like Python or Java, as well as experience using version control systems such as Git, is commonly expected. Strong problem-solving, collaboration, and communication skills help interns excel in team-based projects and adapt to Meta’s fast-paced environment. These skills and qualities are crucial for making meaningful contributions, learning effectively, and succeeding in a competitive tech internship program.

What is the difference between Meta University vs Data Analyst?

AspectMeta UniversityData Analyst
Required CredentialsTypically a certificate or training program from Meta UniversityBachelor's degree in statistics, computer science, or related field
Work EnvironmentOnline learning platform, self-paced or instructor-led coursesOffice or remote, analyzing data sets and generating reports
Employer & Industry UsageMeta (Facebook) for training and skill developmentVarious industries including tech, finance, marketing
Search & Comparison IntentLearning platform, certification, skill developmentData analysis, job requirements, career path

Meta University offers specialized training and certifications from Meta, focusing on social media and digital skills, often used for skill enhancement. Data Analysts analyze data to inform business decisions across industries. While Meta University provides educational credentials, Data Analysts are professionals applying those skills in real-world settings.

What are the most commonly searched types of Meta University jobs in California?

The most popular types of Meta University jobs in California are:

What are popular job titles related to Meta University jobs in California?

For Meta University jobs in California, the most frequently searched job titles are:

What job categories do people searching Meta University jobs in California look for?

The top searched job categories for Meta University jobs in California are:

What cities in California are hiring for Meta University jobs?

Cities in California with the most Meta University job openings:

Meta University jobs near you
Infographic showing various Meta University job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution.

Visiting Scholar -- Post Training & Research (Discovery AI Lab)

Menlo Park, CA • On-site, Remote

Meta
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students

Learn more about Metaexternal

$219K - $301K/yr

Full-time

Posted 15 days ago

Job description

Discovery AI Lab is pioneering large language model (LLM) technologies across the full ML lifecycle — pre-training, mid-training, and post-training — to replace traditional recommendation pipelines with generative AI. Our work spans preference alignment and reinforcement learning for recommendation systems, self-improving agentic AI, and efficient training and inference at scale. We publish at top venues (NeurIPS, ICML, ICLR, RecSys) while shipping research directly into products that serve billions of users.We are seeking a Visiting Scholar to join the team for a 12-month, full-time research engagement. This role offers the opportunity to lead cutting-edge research embedded within a world-class team, with access to Meta-scale infrastructure, data, and compute.
Visiting Scholar — Post Training & Research (Discovery AI Lab) Responsibilities:
  • Lead research on post-training algorithms for generative recommendation systems, including preference alignment methods (e.g., DPO, GRPO, SimPO) adapted for multi-objective recommendation signals.
  • Design and develop self-improving agent frameworks that leverage multi-agent collaboration, LLM self-correction, and continuous-learning loops.
  • Advance efficient inference techniques — including quantization, compression, and distillation — for large-scale generative and Mixture-of-Experts recommendation models.
  • Collaborate with research scientists and engineers to translate research into production-ready systems at Meta scale.
  • Mentor research scientists and engineers on the team, upleveling internal capabilities in post-training and agentic AI.

Minimum Qualifications:
  • PhD in Computer Science, Machine Learning, Natural Language Processing, or a related field
  • Active faculty appointment or equivalent research position at a university or research institution
  • Demonstrated publication record at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, RecSys)
  • Expertise in one or more of: post-training methods (RLHF, preference optimization, reward modeling), large language models, or agentic AI systems
  • Experience conducting research in collaborative, team-based environments
  • Available for a full-time, 12-month on-site or hybrid engagement
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:
  • Tenured or tenure-track faculty position
  • Research focus at the intersection of LLMs and recommendation systems
  • Experience with reinforcement learning for language models or multi-agent systems
  • Published work on model compression, quantization, or efficient inference for large-scale models
  • Prior industry research experience (internship or collaboration) with production ML systems
  • Track record of mentoring graduate students or junior researchers

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.
$219,000/year to $301,000/year + 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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