Research Engineer, Language - Generative AIJoin to apply for the Research Engineer, Language - Generative AI role at MetaResearch Engineer, Language - Generative AIJoin to apply for the Research Engineer, Language - Generative AI role at MetaThis range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$85.10/yr - $251,000.00/yrMeta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team’s recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.Research Engineer, Language - Generative AI Responsibilities:Design methods, tools, and infrastructure to push forward the state of the art in large language modelsDefine research goals informed by practical engineering concernsContribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing resultsAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Work with a large and globally distributed teamContribute to publications and open-sourcing effortsMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceResearch experience in machine learning, deep learning, and/or natural language processingExperience with developing machine learning models at scale from inception to business impactProgramming experience in Python and hands-on experience with frameworks such as PyTorchExposure to architectural patterns of large scale software applicationsPreferred Qualifications:A PhD in AI, computer science, data science, or related technical fields.Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).Direct experience in generative AI and LLM research.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.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.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.Seniority levelSeniority levelNot ApplicableEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesTechnology, Information and InternetReferrals increase your chances of interviewing at Meta by 2xGet notified about new Research Engineer jobs in San Francisco, CA.Perception Software or Machine Learning EngineerResearch Engineer / Research Scientist - Deep ResearchResearch Scientist - Computational ChemistryOakland, CA $150,000.00-$200,000.00 1 week agoSan Francisco, CA $100,000.00-$300,000.00 4 hours agoResearch Engineer/Research Scientist, RL/ReasoningResearch Engineer - Machine Learning (ML)San Francisco, CA $100,000.00-$300,000.00 2 weeks agoResearch Engineer / Research Scientist, Post-TrainingSan Francisco, CA $104,979.00-$165,000.00 2 months agoResearch Scientist (Multi-agent Systems)Research Engineer / Research Scientist - AgentsSan Francisco, CA $295,000.00-$530,000.00 1 month agoSan Francisco, CA $140,000.00-$215,000.00 2 months agoSan Francisco, CA $100,000.00-$300,000.00 2 weeks agoSan Francisco, CA $150,000.00-$350,000.00 7 months agoInternship - Research Scientist (AI Agents)Research Scientist, Science of Post TrainingSan Francisco, CA $140,000.00-$215,000.00 1 month agoApplied AI Engineer & Researcher - Post TrainingWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr