AI Core Machine Learning Intern: Meta, previously referred to as Facebook, is a worldwide leader in the era, connecting billions of human beings through its own family of apps, which includes Facebook, Instagram, WhatsApp, and Oculus. The agency is at the leading edge of innovation, driving improvements in artificial intelligence, virtual reality, and device mastery. For aspiring tech experts, Meta offers remarkable Summer Internships that offer hands-on experience, mentorship, and the opportunity to work on groundbreaking projects.
- Role: AI Core Machine Learning Intern
- Company: Meta
- Location: 181 Fremont St, San Francisco, CA 94105
- Salary: $7,800 – $11,293 a month
- Work Type: Internship
About Careers at Meta
Meta is a era huge targeted on building the following era of digital memories. The employer invests intently in AI, VR, and AR to create immersive and interactive structures. With a culture focused round innovation, collaboration, and effect, Meta offers an wonderful environment for interns to grow their abilities and make widespread contributions. One of the maximum thrilling opportunities in Meta’s Careers at Meta software is the AI Core Machine Learning Intern function. This internship is designed for college students obsessed with artificial intelligence and gadget learning, presenting them a threat to make contributions to cutting-edge research and real-international programs.
Job Description: AI Core Machine Learning Intern
The AI Core Machine Learning Intern function is a Summer Internship that permits university students to paintings alongside main experts in artificial intelligence. Interns will have an impact on research, increase tool studying methods, and optimize AI structures that empower Meta’s products. This position is best for folks who need to apply theoretical know-how to actual-global demanding situations in a fast-paced tech environment. With aggressive sales, remarkable mastering reviews, and the threat to work on organization-primary duties, this Summer Internship is a stepping stone to a successful career in tech.
Key Responsibilities
- Developing and implementing gadget mastering algorithms to solve complicated problems.
- Collaborating with engineers and researchers to improve AI models.
- Conducting experiments to evaluate the model’s universal overall performance and scalability.
- Optimizing contemporary AI systems for performance and accuracy.
- Contributing to investigating papers and technical documentation.
- Participating in team meetings, brainstorming sessions, and code reviews
Key Skills Required
- Strong programming capabilities in Python, C++, or comparable languages.
- Experience with devices, gaining knowledge of frameworks like PyTorch or TensorFlow.
- Knowledge of deep getting to know, neural networks, and natural language processing.
- Analytical questioning and hassle-fixing talents.
- Ability to work in a collaborative team environment.
- Strong communication skills for supplying research findings.
Education and Qualifications
- Currently enrolled in a Bachelor’s, Master’s, or Ph.D. Program in Computer Science, Artificial Intelligence, Machine Learning, or a associated concern.
- Strong educational and historical past with coursework in algorithms, information systems, and device mastering.
- Prior studies or experience in AI/ML is a plus.
- Publications in top AI meetings (NeurIPS, ICML, CVPR) are fine but not mandatory.
Experience Required
- Hands-on responsibilities concerning gadget learning or AI.
- Internships or research assistantships in associated fields.
- Contributions to open-source AI/ML tasks.
- Participation in hackathons or coding competitions.
Job Location
- 181 Fremont St,
- San Francisco, CA 94105
Benefits of Working at Meta as an Intern
Competitive Salary: Interns earn between $7,800 – $eleven,293 consistent with month, making it one of the highest-paying internships in tech.
Hands-on Experience: Work on real responsibilities that affect billions of clients globally.
Mentorship: Learn from pinnacle AI researchers and engineers within the issue.
Networking Opportunities: Connect with experts and fellow interns through sports and workshops.
Career Growth: High-performing interns may additionally acquire full-time jobs at Meta.
Cutting-Edge Technology: Access to superior AI gadgets and infrastructure.
Flexible Work Environment: Hybrid work options and collaborative place of business areas.
Health and Wellness: Medical, dental, and highbrow fitness manual.
Relocation Assistance: Support for interns transferring to San Francisco.
Social and Learning Events: Engage in tech talks, networking sessions, and group outings.
How to Apply: Click on the Apply Link Below⇓
Apply Now, Here
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