**Summary:** Meta is seeking a Research Engineer to join our Llama Large Language Model (LLM) Research team. This teams works with VLLMs; and leverages knowledge in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. We have an interest in producing and applying new science/systems/technologies to develop and responsibly release vision large language models. **Required Skills:** AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities: 1. Lead, collaborate, and execute on developing scalable and effective data curation, model development and eval systems that push forward the state of the art in multimodal reasoning and generation research. 2. Work towards long-term ambitious research/development goals, while identifying intermediate milestones. 3. Directly contribute to experiments, including designing experimental details, reusable code, running evaluations, and organizing results. 4. Mentor other team members. Play a significant role in healthy cross-functional collaboration. 5. Prioritize research and development that can be applied to Meta's product development. **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 7. PhD in the field of Artificial Intelligence, Computer Vision, or a related technical field. 8. 4+ years of Experience holding an industry, faculty, academic, or government researcher position. 9. Accepted Paper Contributions at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 10. Knowledge of deep learning and neural networks. 11. Experience working with machine learning libraries like Pytorch. 12. Familiar with scripting languages such as Python and shell scripts. 13. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. **Preferred Qualifications:** Preferred Qualifications: 14. Industry research & development experiences in generative AI and LLM research. 15. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. 16. Fluent in Python and PyTorch (or equivalent). 17. First-Author publications & track record at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). **Public Compensation:** $177,000/year to $251,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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@fb.com.