**Summary:** Meta is seeking a Research Engineer to join Fundamental AI Research (FAIR) team to build products using Large Language Models (LLMs) and Vision Language Models (VLMs). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals & recognized experts in NLP and Vision, with experience in areas like large model training; data collection pipelines; synthetic data; LLM alignment; model evaluation; image and video generation diffusion model; and/or responsible data processing who are also passionate about solving challenges that will accelerate our reach to human-level intelligence. Candidates will have an opportunity through open-science & scalable engineering to enable state-of-the-art research-advances and innovate / apply their ideas at an unprecedented scale. **Required Skills:** Research Engineer, CoreML - FAIR Responsibilities: 1. Collaborate, and execute on research that pushes forward the state of the art in large vision and language model research 2. Directly contribute to experiments, including designing experimental details, reusable code, running evaluations, and organizing results 3. Develop methodology and benchmarks to evaluate different approaches 4. Work with a large and globally distributed team 5. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results 6. Publish research results and contribute to research that impacts Meta product development **Minimum Qualifications:** Minimum Qualifications: 7. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 8. Post-Graduate experience holding an industry, academia, faculty, or government researcher position 9. Master's degree in the field of Computer Science, Computer Engineering, or equivalent practical experience 10. Experience in NLP and Vision, such as large model training, data collection pipelines, synthetic data, LLM alignment, model evaluation, image and video generation diffusion model, and/or responsible data processing 11. Experience with Model-Training and executing complex experiments with scalable ML software & systems, using large models & datasets 12. Experience developing machine learning algorithms or machine learning infrastructure in Python 13. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward 14. Experience working and communicating cross functionally in a team environment **Preferred Qualifications:** Preferred Qualifications: 15. PhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 16. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, ICCV, NeurIPS, ICLR, EMNLP, ACL, COLM, or similar 17. 2+ years of domain-specific industry experience in areas related to NLP and Vision, such as large model training, data collection pipelines, synthetic data, LLM alignment, model evaluation, image and video generation diffusion model, and/or responsible data processing **Public Compensation:** $56.25/hour to $173,000/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.