Research Engineer - Conversational AI - Reality Labs

Facebook; Redmond (WA); On-site; USD 70,000 - 208,000; Full time

Job summary

An innovative company is seeking a Research Engineer to join their Large Language Model Research team. This role focuses on developing state-of-the-art AI technologies for on-device and server applications. Ideal candidates will have a strong background in generative AI and NLP, with hands-on experience in machine learning and programming in Python. You will work collaboratively with a global team to push the boundaries of AI research, contributing to impactful publications and open-source projects. This is a fantastic opportunity for those looking to make significant contributions in the field of AI and language modeling.

Benefits

Bonus

Equity

Benefits

Qualifications

• Strong research background in generative AI and NLP required.
• Experience in developing machine learning models at scale.

Responsibilities

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

Skills

Generative AI

Natural Language Processing (NLP)

Machine Learning

Deep Learning

Python Programming

Reinforcement Learning

Multilingual Modeling

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

Summary:

Reality Labs is seeking a Research Engineer to join our Large Language Model (LLM) Research team for the device driven AI Assistant effort. We conduct focused research and engineering to build state-of-the-art LLMs to fit on-device and on-server use cases. We are looking for strong research 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. We collaborate closely with Meta GenAI and FAIR orgs to produce SOTA research and results.

Required Skills:

Research Engineer - Conversational AI - Reality Labs 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.

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).

Public Compensation:

$70.67/hour to $208,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].