Data Scientist, Llama Scalability (Technical Leadership)

Data Scientist, Llama Scalability (Technical Leadership)

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Menlo Park, CA • Seattle, WA • New York, NY • San Francisco, CA + 3 more
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As a Data Scientist, you will collaborate on a wide array of product and technical problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve our biggest challenges in developing foundational AI models. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Our 2024 company objective is to become the leader in AI. We have achieved a lot of progress towards state-of-the-art models in a short time. We now need to scale up how we do evaluation, improve efficiency, and build out our privacy systems and processes. If successful, this will further connect research and open source models to the product models and metrics. This DS will lead that work with partners in Research, Infra, Policy. You will be an integral part of this effort working closely with cross functional partners to enable the development of world-leading models with rigor and solid data foundations. You will work closely with Llama Research Scientists and build expertise in LLM training and unlock Meta's key advantages in this space. You will drive actionable recommendations and key technical decisions with Meta's researchers and leadership. The Team: You will be part of the Research Pillar of the AI Foundations pillar within the Gen AI product group. This team owns developing foundational state-of-the-art Gen AI technology.

Data Scientist, Llama Scalability (Technical Leadership) Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.


• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.


• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.


• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.


• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.


• 10+ years of experience in Product Data Science, including in-depth experience with experimentation.


• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).


• Experience framing and communication skills.


• Proven intellectual curiosity and drive, decisiveness, with ambiguity and complexity.

Preferred Qualifications

• Experience with AI, LLM, machine learning, and experimentation methods.


• Masters or Ph.D. Degree in a quantitative field.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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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 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 accommodations-ext@fb.com .

$253,000/year to $314,000/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.