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Data Scientist, Llama Scalability (Technical Leadership)

Meta builds technologies that help people connect, find communities, and grow businesses.
$253,000 - $314,000
Data
Principal Software Engineer
Hybrid
5,000+ Employees
10+ years of experience
AI
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Description For Data Scientist, Llama Scalability (Technical Leadership)

As a Data Scientist for Llama Scalability (Technical Leadership) at Meta, you will collaborate on a wide array of product and technical problems with cross-functional partners. Your focus will be on using data and analysis to identify and solve challenges in developing foundational AI models, particularly in scaling up evaluation, improving efficiency, and building privacy systems for Llama models.

Key responsibilities include:

  • Working with large, complex datasets to solve challenging problems using various analytical and statistical approaches.
  • Applying technical expertise in quantitative analysis, experimentation, and data mining to develop strategies for products serving billions.
  • Identifying and measuring product success through goal setting, forecasting, and monitoring key metrics.
  • Defining and testing opportunities to improve products, driving roadmaps through insights and recommendations.
  • Partnering with Product, Engineering, and cross-functional teams to inform and execute product strategy.

You'll be part of the Research Pillar in the AI Foundations pillar within the Gen AI product group, owning the development of state-of-the-art Gen AI technology. This role is crucial in Meta's 2024 objective to become the leader in AI, working closely with Llama Research Scientists to build expertise in LLM training and unlock Meta's key advantages in this space.

The ideal candidate will have:

  • 10+ years of experience in Product Data Science, including in-depth experimentation experience.
  • Strong skills in data querying (e.g., SQL), scripting (e.g., Python), and statistical software.
  • Excellent framing and communication skills.
  • Proven intellectual curiosity and ability to handle ambiguity and complexity.
  • Experience with AI, LLM, machine learning, and experimentation methods (preferred).
  • A Bachelor's degree in a relevant technical field, with a Masters or Ph.D. preferred.

Join Meta to shape the future of AI and be part of a world-class analytics community dedicated to skill development and career growth.

Last updated 9 months ago

Responsibilities For Data Scientist, Llama Scalability (Technical Leadership)

  • 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

Requirements For Data Scientist, Llama Scalability (Technical Leadership)

Python
  • 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

Benefits For Data Scientist, Llama Scalability (Technical Leadership)

401k
Medical Insurance
  • bonus
  • equity
  • benefits

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