Research Engineer

Meta; London; On-site; GBP 50,000 - 100,000; Full time

Job summary

An established industry player is on the lookout for a Research Engineer to join their innovative Large Language Model Research team. This role involves pushing the boundaries of generative AI and NLP through cutting-edge research and engineering. You will design methods and infrastructure to enhance large language models, contributing to impactful experiments and publications. If you have a strong background in machine learning and a passion for advancing AI technology, this is the perfect opportunity to make a significant impact in a collaborative and dynamic environment.

Qualifications

• Bachelor's degree in a relevant technical field or equivalent experience.
• Research experience in machine learning and NLP is essential.

Responsibilities

• Design methods and tools to advance large language models.
• Contribute to experiments and organize results effectively.

Skills

Generative AI

Natural Language Processing (NLP)

Machine Learning

Deep Learning

Python Programming

Reinforcement Learning

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in AI or related fields

Tools

PyTorch

Job description

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team’s recent Llama 2. We are looking for engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.

Responsibilities

1. Design methods, tools, and infrastructure to push forward the state of the art in large language models.
2. Define research goals informed by practical engineering concerns.
3. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
5. Work with a large and globally distributed team.
6. Contribute to publications and open-sourcing efforts.

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
2. Research experience in machine learning, deep learning, and/or natural language processing.
3. Experience with developing machine learning models at scale from inception to business impact.
4. Programming experience in Python and hands-on experience with frameworks such as PyTorch.
5. Exposure to architectural patterns of large scale software applications.
6. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

1. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
2. A PhD in AI, computer science, data science, or related technical fields.
3. Direct experience in generative AI and LLM research.
4. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).