Research Engineer, GenAI, Llama Speech London, UK • AI Research • Artificial Intelligence Londo[...]

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

Job summary

Join a forward-thinking company as a Research Engineer on the Large Language Model Research team. This role involves conducting innovative research and engineering to develop state-of-the-art language models. You will collaborate with a globally distributed team, design cutting-edge tools, and contribute to open-source projects. Ideal candidates will have a strong background in generative AI and NLP, with experience in machine learning and programming. This is an exciting opportunity to shape the future of social technology and make a significant impact in the field.

Qualifications

• Bachelor's degree in a relevant field or equivalent experience required.
• 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

Reinforcement Learning

Python Programming

Data Processing

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).

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.