Research Engineer - Conversational AI - Reality Labs

webAI; Redmond (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

A leading tech company is seeking a Research Engineer to join their LLM Research team focused on device-driven AI Assistant efforts. The role requires strong expertise in generative AI and natural language processing, offering opportunities to collaborate with global teams and contribute to state-of-the-art research in LLMs.

Qualifications

• Bachelor's degree or equivalent relevant experience required.
• Experience in developing machine learning models at scale.
• Research experience in machine learning or NLP required.

Responsibilities

• Design methods and infrastructure for LLMs.
• Define practical research goals.
• Contribute to publications and experiments.

Skills

Programming in Python

Machine Learning

NLP (Natural Language Processing)

Deep Learning

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in AI or related fields

Tools

PyTorch

Job description

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.

Research Engineer - Conversational AI - Reality Labs Responsibilities

• Design methods, tools, and infrastructure to push forward the state of the art in large language models.
• Define research goals informed by practical engineering concerns.
• Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
• Work with a large and globally distributed team.
• Contribute to publications and open-sourcing efforts.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Research experience in machine learning, deep learning, and/or natural language processing.
• Experience with developing machine learning models at scale from inception to business impact.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
• Exposure to architectural patterns of large scale software applications.

Preferred Qualifications

• Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• A PhD in AI, computer science, data science, or related technical fields.
• Direct experience in generative AI and LLM research.
• First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).