Research Scientist Manager, Generative AI - Llama Pre-training

Meta; New York (NY); On-site; USD 177,000 - 251,000; Full time

Job summary

An innovative technology firm is seeking a Research Scientist Manager to lead the development of cutting-edge large language models. This role involves driving the end-to-end process of model development, from data sourcing to deployment, ensuring efficiency and effectiveness. You'll lead a talented team of researchers, fostering collaboration across functions to enhance the impact of generative AI. The ideal candidate will have extensive experience in NLP and Transformer modeling, along with a strong vision for the future of AI. Join this dynamic environment and help shape the next generation of AI technologies.

Qualifications

• 5+ years of experience in large language models and NLP.
• Experience leading teams of research scientists and engineers.
• Proven technical vision in generative AI.

Responsibilities

• Drive end-to-end development of large language models.
• Lead a team of applied researchers to democratize Llama.
• Communicate and collaborate with clients and peer teams.

Skills

Large Language Models

NLP

Transformer Modeling

Data Curation Techniques

Cross-functional Collaboration

Education

PhD in Deep Learning

Tools

PyTorch

TensorFlow

Spark

Hive

LangChain

Job description

Research Scientist Manager, Generative AI - Llama Pre-training

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Research Scientist Manager, Generative AI - Llama Pre-training

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This 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

$177,000.00/yr - $251,000.00/yr

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
  
  

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 [e-mail].

$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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Technology, Information and Internet

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