Menlo Park, CA, 94025, USA
21 hours ago
Applied Research Scientist
**Summary:** Meta is seeking a Research Engineer to join content and user understanding team, with a focus of Large Language Model (LLM). We conduct focused research and engineering to build state-of-the-art LLMs. As a key driver of Meta's app growth, we're dedicated use LLM-powered world knowledge to deliver exceptional user experiences across Facebook, Instagram, Threads, and more.We are looking for engineers with a background in generative AI and NLP. Experience in areas like language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, efficient training and inference, and/or multimodal modeling is desired. **Required Skills:** Applied Research Scientist Responsibilities: 1. Build Multi-Modal LLM backbones 2. Prepare human-labeled or auto-generated data for pre-training and fine-tuning 3. Fine-tune/RLHF for downstream content understanding and user understanding tasks 4. Model evaluation with human labeling or auto judge **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6. Research experience in machine learning, deep learning, and/or natural language processing 7. Experience with developing machine learning models at scale from inception to business impact 8. Programming experience in Python and hands-on experience with frameworks such as PyTorch 9. Understanding of architectural patterns of large scale software applications **Preferred Qualifications:** Preferred Qualifications: 10. Multimodal LLM 11. LLM evaluation 12. LLM pre-training 13. LLM post-training **Public Compensation:** $70.67/hour to $208,000/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.
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