ML Engineer - NLP/LLMs - Remote or SF Bay

Wordbricks, Inc.; San Francisco (CA); Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote option

SF Bay Area presence

Seoul office

Tokyo office

Annual Company Retreat

Comprehensive Insurance Coverage

Retirement Benefits

Job summary

Wordbricks, Inc. is seeking a Machine Learning Engineer to design and implement NLP models powering our productivity tools.

You will optimize inference speed and deploy ML pipelines across training and deployment stages, collaborating with frontend and backend teams to integrate AI features. We value hands-on experience with deep learning, NLP, and large language models, plus strong Python skills and production-ready ML systems knowledge.

Qualifications

• 3+ years of experience in machine learning engineering.
• Strong background in deep learning and natural language processing.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Experience with large language models and their applications.

Responsibilities

• Design and implement ML models for various natural language processing tasks.
• Optimize model performance and inference speed for production environments.
• Develop and maintain ML pipelines for training and deployment.
• Collaborate with frontend and backend teams to integrate AI features.

Skills

NLP

Deep Learning

Python

PyTorch

TensorFlow

LLMs

Model deployment

Tools

PyTorch

TensorFlow

Python

Job description

Wordbricks, Inc. is seeking a Machine Learning Engineer to design and implement NLP models powering our productivity tools.

You will optimize inference speed and deploy ML pipelines across training and deployment stages, collaborating with frontend and backend teams to integrate AI features. We value hands-on experience with deep learning, NLP, and large language models, plus strong Python skills and production-ready ML systems knowledge.