Multimodal LLM & Speech Translation Intern (PhD)

Meta; Redmond (WA); On-site; USD 48,000 - 62,000; Full time

Job summary

Meta Reality Labs Research intern positions seek researchers to advance multimodal large language models (MLLMs) and speech-to-speech translation (S2ST) for AR/VR experiences. Interns will explore models combining audio, speech, vision, and language inputs, and will evaluate and publish results.

Internships run 12–24 weeks with multiple start dates; PhD candidates with strong Python and ML framework experience who can obtain work authorization in the United States are preferred.

Qualifications

• PhD degree in a related STEM field or in progress.
• 3+ years programming in Python or similar language.
• 3+ years experience with ML frameworks such as PyTorch or TensorFlow.
• 2+ years developing computational models in speech processing, NLP, multimodal learning, or audio-visual learning.
• Must obtain work authorization in the country of employment.

Responsibilities

• Conduct original research in multimodal large language models, speech foundation models, or speech-to-speech translation.
• Develop models that jointly understand and reason over audio, speech, visual, and textual inputs, or generate natural speech across languages.
• Investigate methods for model pretraining, multimodal alignment, instruction tuning, or streaming inference.
• Design and execute experiments, establish baselines, and evaluate model quality, robustness, latency, and computational efficiency.
• Collaborate with researchers and engineers across speech, audio, computer vision, and language modeling.
• Communicate research ideas, progress, and results through presentations, technical reports, and research publications.

Skills

Python

Machine learning

Speech processing

Natural language processing

Multimodal learning

Education

PhD in Computer Science / AI / ML / EE / Computational Linguistics

Tools

PyTorch

TensorFlow

Job description

Meta Reality Labs Research intern positions seek researchers to advance multimodal large language models (MLLMs) and speech-to-speech translation (S2ST) for AR/VR experiences. Interns will explore models combining audio, speech, vision, and language inputs, and will evaluate and publish results.

Internships run 12–24 weeks with multiple start dates; PhD candidates with strong Python and ML framework experience who can obtain work authorization in the United States are preferred.