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Internship Meta Analysis Jobs in California (NOW HIRING)

Meta

Computer Vision Engineer

Burlingame, CA

$154K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning ... Background in computer vision, classical image processing, and 2D/3D spatial data analysis

Meta

Computer Vision Engineer

Menlo Park, CA

$154K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning ... Background in computer vision, classical image processing, and 2D/3D spatial data analysis

Meta

AI Research Scientist, Robotics

Burlingame, CA

$154K/yr

Experience with manipulating and analyzing complex, large scale, high-dimensionality data from ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

Meta

AI Research Scientist, Robotics

Burlingame, CA

$219K/yr

At Meta, we're building the future of human connection and the technology that enables it. This ... Experience with manipulating and analyzing complex, large scale, high-dimensionality data from ...

HeyGen

Growth Marketing Specialist

San Francisco, CA · On-site

$110K - $150K/yr

... internships and agency experience count * Proficiency in Google Ads and Meta Ads Manager; bonus if ... Analytical and detail-oriented - you catch the typo in the ad copy, the misallocated budget, and ...

ZOE International

Marketing Intern

Santa Clarita, CA · On-site

$15.25 - $20.25/hr

... campaigns, analytics, SEO, and donor engagement strategies. This internship is perfect for a ... Familiar with google ads, meta ads, metrics * Engagement online, pulling numbers together to ...

ZOE International

Marketing Intern

Santa Clarita, CA · On-site +1

$15.25 - $20.25/hr

... campaigns, analytics, SEO, and donor engagement strategies. This internship is perfect for a ... Familiar with google ads, meta ads, metrics * Engagement online, pulling numbers together to ...

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Internship Meta Analysis information

What are the key skills and qualifications needed to thrive as an internship meta analyst, and why are they important?

To thrive as an Internship Meta Analyst, you need strong analytical skills, a background in statistics or social sciences, and familiarity with research methodologies, often supported by progress toward or completion of a relevant degree. Proficiency in statistical software such as SPSS, R, or Python, and experience with literature databases and data visualization tools, is typically expected. Attention to detail, critical thinking, and effective communication are important soft skills for synthesizing research findings and presenting conclusions clearly. These skills ensure accurate data interpretation, reliable synthesis of evidence, and meaningful contributions to research projects.

What is an internship meta analysis?

An Internship Meta Analysis is a systematic review and statistical analysis of multiple studies or data sets related to internships. The goal is to aggregate findings from various sources to identify overall trends, effectiveness, and outcomes associated with internship programs. This type of analysis helps educators, employers, and policymakers understand what factors contribute to successful internships and make evidence-based decisions. It involves collecting data from published research, evaluating the quality of studies, and synthesizing results to draw comprehensive conclusions.

What types of projects or tasks can I expect to work on during an internship in meta analysis?

During an Internship in Meta-Analysis, you can expect to assist with tasks such as systematic literature searches, data extraction from published studies, and statistical analysis using specialized software like RevMan or R. Interns often collaborate closely with senior researchers to ensure proper study selection criteria and to interpret the results accurately. You may also contribute to preparing reports or presentations summarizing the findings. This hands-on experience provides valuable insight into both the analytical and collaborative aspects of evidence-based research.

What is the difference between Internship Meta Analysis vs Data Analyst?

AspectInternship Meta AnalysisData Analyst
Required CredentialsTypically pursuing or recent graduate, some knowledge of research methodsBachelor's degree in related field, some technical skills
Work EnvironmentResearch projects, academic or healthcare settingsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUniversities, research institutions, healthcare organizationsCorporations, consulting firms, government agencies
Search & Comparison IntentUnderstanding research-focused roles, entry-level research opportunitiesAnalyzing data, reporting, decision-making roles

Internship Meta Analysis involves reviewing multiple research studies to synthesize findings, often in academic or healthcare settings. Data Analysts interpret data sets to inform business decisions across various industries. While both roles require analytical skills, Internship Meta Analysis emphasizes research synthesis, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Meta Analysis jobs in California? The most popular types of Meta Analysis jobs in California are:
What are popular job titles related to Internship Meta Analysis jobs in California? For Internship Meta Analysis jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Meta Analysis jobs in California look for? The top searched job categories for Internship Meta Analysis jobs in California are:
What cities in California are hiring for Internship Meta Analysis jobs? Cities in California with the most Internship Meta Analysis job openings:
Internship Meta Analysis jobs near you

Visiting Researcher, Meta Superintelligence Labs

Meta

Menlo Park, CA

Full-time

Posted 25 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

Meta is seeking a Visiting Researcher to join Meta Superintelligence Labs. Individuals in this role are proficient in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas such as transfer learning, learning from demonstration, reinforcement learning, action-conditioned world models, perception, representation learning, robot control, navigation, mobile manipulation, dexterous manipulation, and vision-language models. You should have a keen interest in producing new, open science to make embodied agents more intelligent.
Visiting Researcher, Meta Superintelligence Labs Responsibilities:
  • Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
  • Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
  • Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies
  • Build and benchmark new capabilities needed for the next generation of AI
  • Conduct research towards long-term research goals while identifying intermediate milestones
  • Execute on novel research based on long-term objectives of the organization

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
  • Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Currently has, or is in the process of obtaining a Master’s or PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
  • Experience with deep learning frameworks (such as PyTorch, TensorFlow) and Python
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience building systems based on machine learning and/or deep learning methods
  • Experience in relevant robotics-related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer, robotic control, manipulation, navigation, or generally embodied AI
  • Experience working and communicating cross-functionally in a team environment
  • Experience with manipulating and analyzing complex, large-scale, high-dimensionality data from varying sources
  • Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware

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.
$58.65/hour to $143,000/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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