Research Scientist Manager, Generative AI - LLama

Our mission is to give people the power to build community and bring the world closer together.

Meta

Employee count: 5000+

Salary: 177k-251k USD

United States only

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The Generative AI Org at Meta is seeking a strong technical leader to join our team and work on the next generation of LLMs, particularly focusing on massive-scale datasets. As a technical leader of our team, you will play a critical role in building our series of LLama models. This year we published and released LLama2 open for research and commercial use, and launched Meta AI in our chat apps and on Ray-Ban Meta Smart Glasses. We're currently training our next-gen model Llama 3, and we're building massive compute infrastructure to support our future roadmap. In addition to supporting the entire LLM ecosystem publicly with the LLama series, Meta AI is building an assistant that is social, more capable, more personal, and more ubiquitous.Research Scientist Manager, Generative AI - LLama Responsibilities

Deliver massive-scale datasets for training the next generation of LLama models
Drive execution of NLP developing datasets end-to-end, including sourcing, curation, quality filtering, measurement, synthetic data, experiment design, across all sources of knowledge, and more
Grow a team of domain experts within Language Data Foundation of Generative AI
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 deeply 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 of recording in 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 in developing large-scale AI datasets, models, and/or services
Experience with cross functional collaboration with product and platform teams, as well as 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 building massive-scale datasets to train NLP and/or multimodal models
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

LocationsAbout 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 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 support, please reach out to [email protected]. $177,000/year to $251,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

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Full Time

Experience level

Mid-level

Salary

Salary: 177k-251k USD

Location requirements

United States

Hiring timezones

United States +/- 0 hours

Job categories

Research Manager Research Data Scientist Research Scientist Machine Learning Scientist Artificial Intelligence Scientist Machine Learning Researcher

Skills

Large Language Models NLP Transformers Datasets PyTorch TensorFlow Spark Hive WhatsApp

About Meta

Learn more about Meta and their company culture.

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Our mission is to give people the power to build community and bring the world closer together. Our products empower more than 3 billion people around the world to share ideas and offer support.

Our Story

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, virtual and mixed reality to help build the next evolution in social technology.

Our principles

They embody what we stand for and guide our approach to how we build technology for people and their relationships.

Give People a Voice

People deserve to be heard and to have a voice — even when that means defending the right of people we disagree with.

Build Connection and Community

Our services help people connect, and when they’re at their best, they bring people closer together.

Serve Everyone

We work to make technology accessible to everyone, and our business model is ads so our services can be free.

Keep People Safe and Protect Privacy

We have a responsibility to promote the best of what people can do together by keeping people safe and preventing harm.

Promote Economic Opportunity

Our tools level the playing field so businesses grow, create jobs and strengthen the economy.

Tech stack

Learn about the tools and technologies that Meta uses to build, market, and sell its products.

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React Native

Django

Hydra Framework

JavaScript

Python

HTML5

Java

CSS 3

PHP

Objective-C

Hack

44 more

Meta employees can create an account to update this tech stack.

Employee benefits

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Paid time off to vote

Up to 8 hours of paid voting time

Life insurance

Life insurance and survivor support

Financial coaching

Get access to financial coaching and tax education

Disability insurance

Accidental death and dismemberment (AD&D) Insurance.

View Meta's employee benefits

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About the job

Apply before

Jun 29, 2024

Posted on

Apr 30, 2024