NLP ML Engineer: Build Scalable Language AI & Impact

AI Breaking Wire; Menlo Park (CA); On-site; USD 170,000 - 280,000; Full time

Benefits offered by this job

Annual bonus

Stock options

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

On-site amenities

Professional development

Impactful AI work

Job summary

Meta AI in Menlo Park, CA, is seeking a Machine Learning Engineer specializing in NLP to contribute to cutting-edge research and product development. You will build and deploy advanced NLP models, train large transformers, and collaborate with researchers and product teams to deliver scalable NLP features.

We expect strong Python, PyTorch experience, and a track record in language understanding, generation, translation, or conversational AI.

Qualifications

• BS/MS/PhD in Computer Science, ML, or related field, or equivalent practical experience.
• Proven NLP experience with sequence modeling, transformers, attention mechanisms.
• Strong Python programming and ML libraries (PyTorch, TensorFlow).
• Experience with large-scale data processing and distributed training.

Responsibilities

• Develop, train, and deploy advanced NLP models and systems.
• Implement and optimize deep learning architectures for NLP tasks.
• Collaborate with researchers and product teams to deliver NLP features.
• Build and maintain data pipelines for training and evaluation.
• Contribute to research and development of new NLP techniques and algorithms.
• Ensure scalability, reliability, and performance of NLP services.

Skills

NLP

Machine Learning

Deep Learning

Transformers

Python

Education

BS/MS/PhD in CS/ML or equivalent

Tools

PyTorch

TensorFlow

Transformers

Hugging Face

Job description

Meta AI in Menlo Park, CA, is seeking a Machine Learning Engineer specializing in NLP to contribute to cutting-edge research and product development. You will build and deploy advanced NLP models, train large transformers, and collaborate with researchers and product teams to deliver scalable NLP features.

We expect strong Python, PyTorch experience, and a track record in language understanding, generation, translation, or conversational AI.