
About Meta (Facebook)
Connecting people through innovative technology
Key Highlights
- Over 2.9 billion monthly active users across platforms
- Headquartered in Menlo Park, California
- Valued at over $800 billion
- Significant investments in Oculus and AR/VR technology
Meta (formerly Facebook) is a leading technology company focused on building the metaverse, with over 2.9 billion monthly active users across its platforms, including Facebook, Instagram, and WhatsApp. Headquartered in Menlo Park, California, Meta has invested heavily in virtual reality and augmente...
🎁 Benefits
Meta offers competitive salaries, equity compensation, generous PTO policies, comprehensive health benefits, and a robust parental leave program. Empl...
🌟 Culture
Meta fosters a culture of innovation and experimentation, encouraging employees to take risks and explore new ideas. The company emphasizes a mission-...
Skills & Technologies
Overview
Meta is seeking an AI Research Scientist to build the data foundation for advanced Large Language and Media Models. You'll work with data at scale and contribute to data curation across all stages of model development. This role requires expertise in machine learning and data analysis.
Job Description
Who you are
You have a strong background in AI research, particularly in Large Language Models (LLMs) and Media Models, with experience in data curation and manipulation at scale. Your expertise in machine learning and data analysis allows you to tackle complex challenges effectively. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and PyTorch, enabling you to implement cutting-edge solutions. You understand the intricacies of data engineering and data science, which helps you contribute meaningfully to the development of advanced models. You thrive in collaborative environments, working closely with researchers and engineers to push the boundaries of what's possible in AI. You are passionate about redefining paradigms in AI and are eager to contribute to groundbreaking projects.
Desirable
Experience with synthetic data generation and organic data curation is a plus. Familiarity with various domains and modalities, including image and video data, will enhance your contributions to the team. A background in agent and interaction data will also be beneficial as you work on frontier paradigms in AI.
What you'll do
As an AI Research Scientist at Meta, you will be instrumental in building the data foundation for our most advanced models. You will engage in data curation across all stages of LLM and LMM development, from pre-training to post-training. Your role will involve tackling complex challenges at trillion-scale, focusing on organic data curation and synthetic data generation. You will collaborate with a team of researchers and engineers in the Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR). Your contributions will directly impact the development of frontier models like Llama, pushing the limits of AI capabilities. You will also have the opportunity to explore innovative approaches that redefine what is possible in AI, working with diverse data types and modalities.
What we offer
At Meta, you will be part of a dynamic team that is at the forefront of AI research. We provide a collaborative environment where your ideas and contributions are valued. You will have access to cutting-edge resources and technologies, enabling you to push the boundaries of AI research. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to advance AI and make a meaningful impact in the field.
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