Join us and transform your dreams into reality. Key Responsibilities * Model Implementation ... Prior internship experience within the autonomous driving industry or advanced robotics labs is ...
Join us and transform your dreams into reality. Key Responsibilities * Model Implementation ... Prior internship experience within the autonomous driving industry or advanced robotics labs is ...
Join us and transform your dreams into reality. Key Responsibilities * Model Implementation ... Prior internship experience within the autonomous driving industry or advanced robotics labs is ...
Join us and transform your dreams into reality. Key Responsibilities * Model Implementation ... Prior internship experience within the autonomous driving industry or advanced robotics labs is ...
Internship Meta Reality Labs information
See Spring, TX salary details
$11.98 - $14.02
5% of jobs
$14.02 - $16.06
7% of jobs
$18.06 is the 25th percentile. Wages below this are outliers.
$16.06 - $18.11
13% of jobs
$18.11 - $20.15
9% of jobs
The median wage is $21.79 / hr.
$20.15 - $22.19
19% of jobs
$22.19 - $24.23
18% of jobs
$24.74 is the 75th percentile. Wages above this are outliers.
$24.23 - $26.27
14% of jobs
$26.27 - $28.31
7% of jobs
$28.31 - $30.36
4% of jobs
$30.36 - $32.40
0% of jobs
$32.40 - $34.44
3% of jobs
$11
$22
$34
How much do internship meta reality labs jobs pay per hour?
As of Jul 28, 2026, the average hourly pay for internship meta reality labs in Spring, TX is $22.62, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $25.67 per hour, depending on experience, location, and employer.
Does Meta have paid internships?
Yes, Meta offers paid internships for students and recent graduates across various roles, including positions at Reality Labs. Internships typically provide a stipend and may include additional benefits, with schedules often lasting several months during the summer or semester periods.
Which 3 jobs will survive AI?
In the context of internships at Meta Reality Labs, roles such as hardware engineering, user experience design, and research science are likely to persist despite AI advancements. These jobs require complex problem-solving, creativity, and hands-on skills that are less easily automated. Developing expertise in areas like machine learning, AR/VR technology, and human-computer interaction can enhance job security in this field.
What is the difference between Internship Meta Reality Labs vs Intern Meta Software Development?
| Aspect | Internship Meta Reality Labs | Intern Meta Software Development |
|---|---|---|
| Required Credentials | Enrolled in related field, some technical skills | Enrolled in computer science or software engineering |
| Work Environment | Research labs, innovative projects, collaborative teams | Software teams, development projects, agile environment |
| Employer & Industry Usage | Meta's AR/VR and Reality Labs division | Meta's software development teams across various products |
| Search & Comparison Intent | Understanding internship roles in Reality Labs | Comparing software development internship options at Meta |
Internship Meta Reality Labs focuses on AR/VR research and innovative projects within Meta's Reality Labs division, requiring related academic background. In contrast, Intern Meta Software Development involves software engineering tasks across Meta's platforms, emphasizing coding and development skills. Both internships offer valuable industry experience but differ in focus and work environment.
What is an Internship at Meta Reality Labs?
An Internship at Meta Reality Labs is a temporary, hands-on work experience program for students or recent graduates interested in fields like virtual reality (VR), augmented reality (AR), and other cutting-edge technologies. Interns work alongside experienced professionals on real projects, gaining exposure to the latest innovations and contributing to the development of new products and experiences. These internships provide valuable opportunities to learn, network, and potentially secure a full-time role after graduation. The program is highly competitive and is designed to foster growth in both technical and creative skills.
What are the key skills and qualifications needed to thrive as an intern at Meta Reality Labs, and why are they important?
To thrive as an intern at Meta Reality Labs, you generally need a strong background in computer science, engineering, or a related field, along with relevant coursework or project experience. Familiarity with tools like Unity, Unreal Engine, programming languages (e.g., C++, Python), and AR/VR development platforms is often required. Initiative, creativity, and strong collaboration skills help interns contribute effectively to fast-paced, innovative projects. These competencies are crucial for supporting groundbreaking work in augmented and virtual reality and integrating seamlessly into multidisciplinary teams.
Is Meta Reality Labs a good place to work?
Meta Reality Labs offers internships that provide hands-on experience in augmented and virtual reality development, often involving collaboration with teams on innovative projects. The company is known for a fast-paced environment, competitive compensation, and opportunities to work with cutting-edge technologies like Oculus and Horizon. However, work-life balance and company culture can vary by team and role.
How much does Meta pay their interns?
Meta Reality Labs interns typically earn between $8,000 and $9,000 per month during their internship, depending on location and experience. Interns often work full-time for a period of 12 to 16 weeks and may receive additional benefits such as housing stipends or transportation allowances.
What types of projects can interns at Meta Reality Labs expect to work on, and how is collaboration typically structured within teams?
Interns at Meta Reality Labs often contribute to cutting-edge projects focused on virtual and augmented reality technologies, such as prototyping new hardware, developing immersive software experiences, or advancing computer vision algorithms. Collaboration is highly cross-functional; interns regularly work with engineers, designers, and product managers, participating in team meetings, code reviews, and brainstorming sessions. The work environment fosters mentorship and open communication, allowing interns to learn from experienced professionals while making tangible contributions to impactful projects.
What are the most commonly searched types of Meta Reality Labs jobs in Spring, TX? The most popular types of Meta Reality Labs jobs in Spring, TX are:
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Other
Posted 25 days ago
Job description
Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
Key Responsibilities- Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including object detection, tracking, online mapping, and end-to-end planning.
- Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
- Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
- Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
- Education: An advanced degree (Master's or Ph.D., including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
- Core Knowledge: Strong theoretical foundation in machine learning, deep learning, and computer vision, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
- Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
- Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
- Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
- 3D Computer Vision / Bird's-Eye-View (BEV) Perception
- Online Mapping, Vectorization, or Visual SLAM
- Prediction and Behavioral Modeling
- Academic Achievements: A proven track record of research publications in top-tier machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS) as a primary contributor.
- Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
- Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs is highly desirable.