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A leading company in the tech industry is seeking a Research Scientist Manager to advance their Generative AI initiatives. The role focuses on developing large language models, particularly the Llama series, and involves managing a team of researchers. Candidates should have extensive experience in NLP and a strong technical vision for the future of generative AI. This position offers a competitive salary and benefits, along with opportunities for professional growth.
Research Scientist Manager, Generative AI - Llama Pre-training
The Generative AI organization at Meta is seeking a Research Scientist Manager to join our team and work on the next generation of large language models, particularly focusing on pre-training and mid-training data. As a Research Scientist Manager, you will play a critical role in building our series of Llama models and setting direction from the earliest stages, with a focus on data including curation, ablations, scaling laws, and defining new tasks (e.g. reasoning, coding). Data is the single largest lever we have to improving our models.
Research Scientist Manager, Generative AI - Llama Pre-training Responsibilities
Drive end-to-end development of large language models, including data sourcing and curation, filtering, experiment design, evaluation and more
Drive efficiency gains on training and deployment of LLMs through novel techniques
Lead a team of applied researchers to democratize Llama for Meta's users
Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects
Remain up-to-date on ongoing research and software development activities in the team, help work through technical challenges, and be involved in design decisions
Remain involved in the research community, both understanding trends, and setting them
Minimum Qualifications
5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
Experience and track record of landing large research and/or product impacts in a fast-paced environment
3+ years of hands-on supporting and leading teams of research scientists and software engineers
Proven technical vision in where the field of generative AI will go
Experience of and knowledge of data curation techniques (training set preparation, ablation experiments, etc.)
Experience with cross functional collaboration with other teams including non-engineering functions
Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management
Preferred Qualifications
PhD in deep learning, artificial intelligence, and/or related technical field
Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.
Experience and knowledge of large-scale data platforms such as Spark, Hive, etc.
Experience and knowledge of working with LLM frameworks like LangChain
Experience and knowledge of training LLMs, fine-tuning on datasets, especially Llama
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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.
$177,000/year to $251,000/year + bonus + equity + benefits
Individual 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.
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .
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Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .