Research Scientist
3 weeks ago
We are seeking a highly skilled Research Engineer to join our Large Language Model (LLM) Research team for the device-driven AI Assistant effort. As a key member of our team, you will conduct focused research and engineering to build state-of-the-art LLMs for on-device and on-server use cases.
Responsibilities- 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 (e.g. distributed clusters, multicore SMP, and GPU).
- Work with a large and globally distributed team.
- Contribute to publications and open-sourcing efforts.
- Bachelor's degree in Computer Science, Computer Engineering, or 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.
- Master's degree in Computer Science, Computer Engineering, or relevant technical field, or equivalent practical experience.
- A PhD in AI, computer science, data science, or related technical fields.
- Direct experience in generative AI and LLM research.
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
At Meta, we are committed to providing reasonable support 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 us.
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.
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