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Internship Meta Jobs (NOW HIRING)

Meta

AI Research Scientist, Robotics

Menlo Park, CA

$184K/yr

Meta is seeking a Research Scientist to join Meta Superintelligence Labs. Individuals in this role ... Demonstrated research and software engineering experience via an internship, work experience ...

Meta

AI Research Scientist, Robotics

Menlo Park, CA · On-site

$184K - $257K/yr

Meta is seeking a Research Scientist to join Meta Superintelligence Labs. Individuals in this role ... internship, work experience, coding competitions, or widely used contributions in open source ...

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 ... Demonstrated research and software engineering experience via an internship, work experience ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

At Meta, we're building the future of human connection and the technology that enables it. This ... Demonstrated research and software engineering experience via an internship, work experience ...

4theweb

Internship

Littleton, CO · On-site

$15 - $20/hr

On-page SEO: keyword density, meta tags, NAP listing, LSI keywords, site structure * Adobe After ... Internship"

4Theweb

Internship

Littleton, CO · Remote

$15 - $20/hr

On-page SEO: keyword density, meta tags, NAP listing, LSI keywords, site structure Adobe After ... Internship"

Meta Global

Business Account Manager - Entry Level

Dallas, TX · On-site

$53K - $74K/yr

Training & development Meta Global is a leader in enterprise business solutions and professional ... Internship, part-time, or project experience in customer service, marketing, business development ...

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How much do internship meta jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for internship meta in the United States is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.51 per hour, depending on experience, location, and employer.

What is the difference between Internship Meta vs Data Analyst?

AspectInternship MetaData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentInternship setting, learning-focused, collaborative teamsFull-time or part-time professional role, analytical tasks
Employer & Industry UsageTech companies, marketing firms, startupsVarious industries including finance, healthcare, tech
Common Search & ComparisonInternship Meta vs Data Analyst

The main difference between Internship Meta and Data Analyst roles lies in experience level and responsibilities. Internships are entry-level, focused on learning and gaining experience, while Data Analysts are full-time professionals performing data analysis tasks. Internships often serve as a stepping stone toward a Data Analyst career, with similar skills but differing in scope and expectations.

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Internship Meta jobs near you
AI Research Scientist, Robotics

AI Research Scientist, Robotics

Meta

Redmond, WA

$154K/yr

Full-time

Posted 24 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 rated software companies

Job description

The ideal Research Scientist candidate will use their skills in system design and modeling and possess knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.
AI Research Scientist, Robotics 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
  • Define, build and benchmark new functionalities needed for the next generation of AI
  • Conduct research towards long-term product goals while identifying intermediate milestones
  • Plan and execute novel research based on long-term objectives of the organization

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
  • 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
  • Experience in relevant robotics related research areas, such as: VLM, 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

Preferred Qualifications:
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
  • Experience working with robot simulations and real-world hardware
  • Experience working and communicating cross functionally in a team environment
  • 2+ years of industry 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
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
  • Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience building systems based on machine learning and/or deep learning methods
  • 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 with deep learning frameworks (such as PyTorch, Tensorflow) and Python

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.
$154,000/year to $217,000/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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