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Data Scientist

💼 Full-time🗓 2026-07-26

Core

Developing new features and models for Meta's core product through applied research, specifically focusing on NLP and LLMs to serve customers.

Role type

Senior IC machine-learning engineer (NLP/LLMs)

Builds

Innovative data and machine learning solutions, Meta's AI/Llama frameworks and products

Domain

Artificial Intelligence, Natural Language Processing, Large Language Models

Deliverable

production ML models | product features

Required skills

Deep Learning, LLMs, NLP, Conversational AI, AI-Infrastructure, Fine-tuning, PyTorch, JAX, Cloud solutions, Kubernetes, Kubeflow, Docker

Preferred skills

Experience with Llama, GPT, Claude, Falcon models

Technologies

PyTorch, JAX, Kubernetes, Kubeflow, Docker

Responsibilities

Design, implement, test, deploy, and maintain innovative data and machine learning solutions; Understand, apply and extend state-of-the-art NLP research; Work with engineering, product, and customers to frame business problems and develop AI models; Define and execute strategy to drive adoption of Llama and other Meta's AI/ML platform offerings; Identify new opportunities and contribute to high-quality publications or patents.

Seniority

Mid-level, hands-on IC

Rewrite
## About the role - Responsible for developing new features and models as part of our core product through applied research. - Understand, apply and extend state-of-the-art NLP research to better serve our customers. - Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models. - Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. - Think creatively to identify new opportunities and contribute to high-quality publications or patents. - Understand Meta's AI/Llama frameworks and products and their underlying implementation. - Define and execute on a strategy to drive adoption of Llama and other Meta's AI/ML platform offerings. ## Desired Qualifications and Experience - At Least 3 years of professional experience. - Bachelors in Computer Science or related fields from the top colleges. - Experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, Conversational AI, AI-Infrastructure, Fine-tuning and optimizations of PyTorch models. - Experience with at least one LLM such as Llama, GPT, Claude, Falcon, etc. - Experience with at least one deep learning framework such as PyTorch and/or JAX. - Experience building cloud solutions on any cloud. Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers. - Experience communicating and presenting to technical and business audiences.
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