Research Engineer - Conversational AI - Reality Labs

AECOM; Seattle (WA); On-site; USD 147,000 - 208,000; Full time

Job summary

AECOM is seeking a Research Engineer to join the Large Language Model Research team focusing on conversational AI. This position involves designing methods for LLMs, contributing to machine learning experiments, and adapting to modern parallel computing environments. Ideal candidates will have a background in AI, programming skills, and a collaborative mindset, with opportunities for publication in top-tier conferences.

Benefits

Bonus opportunities

Equity options

Healthcare benefits

Qualifications

• Bachelor's degree in Computer Science or equivalent experience.
• Research experience in machine learning or deep learning.
• Programming experience in Python.

Responsibilities

• Design methods and infrastructure for large language models.
• Contribute to experiments and organize results.
• Work collaboratively with a global team.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Python

Experimental Design

Education

Bachelor's degree in Computer Science or equivalent

Master's degree in a relevant field

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:**

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].