Research Engineer - Conversational AI - Reality Labs

AECOM; Redmond (WA); On-site; USD 110,000 - 208,000; Full time

Job summary

A leading company in the tech industry is seeking a Research Engineer to contribute to their Large Language Model Research team. This position emphasizes cutting-edge research in AI aligned with practical engineering needs, fostering innovation in conversational AI and collaborating with global teams to create state-of-the-art solutions.

Qualifications

• Experience in research with machine learning and NLP.
• Developing machine learning models at scale.
• Exposure to architectural patterns of large scale software applications.

Responsibilities

• Design methods and tools for large language models.
• Define research goals and contribute to experimental designs.
• Collaborate with a globally distributed team.

Skills

Machine Learning

Natural Language Processing

Generative AI

Data Processing

Python

Reinforcement Learning

Education

Bachelor's degree in Computer Science, Engineering, or related field

Master's degree or PhD in relevant technical field

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:**

Minimum Qualifications:

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

8. Research experience in machine learning, deep learning, and/or natural language processing.

9. Experience with developing machine learning models at scale from inception to business impact.

10. Programming experience in Python and hands-on experience with frameworks such as PyTorch.

11. Exposure to architectural patterns of large scale software applications.

**Preferred Qualifications:**

Preferred Qualifications:

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

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

14. Direct experience in generative AI and LLM research.

15. 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].