Research Engineer, GenAI, Llama Speech
Description For Research Engineer, GenAI, Llama Speech
Meta is seeking a Research Engineer to join their prestigious Large Language Model (LLM) Research team, focusing on the development and advancement of state-of-the-art language models like the recently open-sourced Llama 2. This role combines cutting-edge research with practical engineering in the field of generative AI and natural language processing.
The position offers an opportunity to work on groundbreaking projects in speech technology and language models, contributing to Meta's mission of pushing the boundaries of AI technology. As a Research Engineer, you'll be responsible for designing and implementing advanced methods and tools, conducting experiments, and working with distributed systems and modern parallel computing environments.
The ideal candidate will bring together strong technical skills in Python and PyTorch with research experience in machine learning and natural language processing. You'll be working with a global team of experts, contributing to both academic publications and open-source projects that have real-world impact.
Meta offers a collaborative environment where you'll be at the forefront of AI innovation, working on projects that affect billions of users worldwide. The company's commitment to open-source technology, as demonstrated by projects like Llama 2, shows their dedication to advancing the field of AI while making it accessible to the broader community.
This role is perfect for someone who combines strong engineering skills with research interests, and who wants to work on challenging problems in speech technology and language models at scale. You'll have the opportunity to shape the future of AI technology while working with some of the best minds in the field at one of the world's leading tech companies.
Responsibilities For Research Engineer, GenAI, Llama Speech
- Design methods, tools, and infrastructure to push forward the state of the art in large language models
- Define research goals informed by practical engineering concerns
- Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
- Adapt standard machine learning methods to best exploit modern parallel environments
- Work with a large and globally distributed team
- Contribute to publications and open-sourcing efforts
Requirements For Research Engineer, GenAI, Llama Speech
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Research experience in machine learning, deep learning, and/or natural language processing
- Experience with developing machine learning models at scale from inception to business impact
- Programming experience in Python and hands-on experience with frameworks such as PyTorch
- Exposure to architectural patterns of large scale software applications
- Must obtain work authorization in the country of employment
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