Research Engineer, GenAI, Llama Speech

Meta; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading technology company is seeking a Research Engineer for its Large Language Model Research team. The role involves designing tools and methods for advancing AI, particularly in generative models and NLP. Candidates should have a strong background in machine learning and deep learning, with experience in Python and frameworks like PyTorch. A Bachelor's degree in a relevant field is required, along with the ability to work in a distributed global team.

Qualifications

• Research experience in machine learning, deep learning, and/or NLP.
• Experience developing machine learning models at scale from inception to impact.
• Must obtain work authorization in the country of employment.

Responsibilities

• Design methods and tools to advance large language models.
• Define research goals considering practical engineering aspects.
• Contribute to experiments by designing, coding, and organizing results.
• Adapt machine learning methods for modern parallel environments.
• Collaborate with a globally distributed team.
• Contribute to publications and open-source projects.

Skills

Generative AI

Natural Language Processing (NLP)

Machine Learning

Deep Learning

Python

PyTorch

Education

Bachelor's degree in Computer Science or relevant field

PhD in AI or related field

Job description

Summary:

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.

Required Skills:

Research Engineer, GenAI, Llama Speech 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:

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:

Preferred Qualifications:

1. Direct experience in generative AI and LLM research.

2. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

3. A PhD in AI, computer science, data science, or related technical fields.

4. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Industry: Internet