Research Engineer, Language - Generative AI
Description For Research Engineer, Language - Generative AI
Meta is seeking an experienced Research Engineer to join their prestigious Large Language Model (LLM) Research team, the group behind the groundbreaking Llama 2 model. This role represents a unique opportunity to work at the cutting edge of generative AI technology, contributing to state-of-the-art language models that are often open-sourced and have significant impact in the field.
The position combines advanced research with practical engineering, requiring expertise in areas such as language model evaluation, data processing for pre-training and fine-tuning, responsible AI development, LLM alignment, reinforcement learning, and efficient training methodologies. You'll be working with a globally distributed team, contributing to both research publications and open-source projects that shape the future of AI technology.
The ideal candidate will bring strong technical credentials, with at least a Bachelor's degree in Computer Science or related field, though advanced degrees (Master's or PhD) are preferred. Practical experience with Python, PyTorch, and large-scale machine learning systems is essential. The role offers competitive compensation ranging from $70,670 to $208,000 annually, plus bonus and equity opportunities.
At Meta, you'll be part of a company that's pushing the boundaries of social technology, moving beyond traditional social media into the realm of augmented and virtual reality. The company offers comprehensive benefits and maintains a strong commitment to diversity and inclusion. This role provides an opportunity to work on projects that will influence the next generation of AI technology while contributing to Meta's mission of connecting people and building communities.
Working at Meta's Sunnyvale location, you'll be at the heart of Silicon Valley's tech ecosystem, collaborating with some of the brightest minds in AI research. The position offers the perfect blend of academic research rigor and practical engineering impact, making it ideal for those who want to advance the field of AI while building systems that can be deployed at scale.
Responsibilities For Research Engineer, Language - Generative AI
- 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, Language - Generative AI
- 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
Benefits For Research Engineer, Language - Generative AI
- Bonus
- Equity
- Benefits package
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