Remote Senior Machine Learning Engineer

Summary

Join webAI's dynamic and fast-growing team as a Senior Machine Learning Engineer to develop and deploy state-of-the-art NLP models. The ideal candidate will have expertise in Large Language Models (LLMs) and Natural Language Processing (NLP), experience deploying production-level NLP models, and knowledge of MLOps practices and scalable cloud infrastructure.

Requirements

• 5+ years of experience in machine learning, with a focus on NLP and LLMs
• Bachelor’s (Master’s preferred) in Computer Science, Machine Learning, or related field
• Expertise in transformer architectures (e.g., GPT, BERT), text preprocessing, and feature engineering
• Proficiency in Python and NLP libraries (Hugging Face, TensorFlow, PyTorch)
• Experience with MLOps tools (MLFlow, Kubeflow, etc.)
• Strong communication skills and passion for learning

Responsibilities

• Design, build, and fine-tune LLMs and NLP models (e.g., GPT, BERT) for tasks like language understanding and generation
• Extend webAI’s existing LLM frameworks and libraries, incorporating the latest research in language models
• Preprocess and prepare text datasets for training, including tokenization and feature extraction
• Implement MLOps best practices for deploying scalable, production-level models on cloud platforms
• Collaborate with cross-functional teams to integrate LLM models into the webAI platform
• Stay updated on LLM advancements and apply the latest research to improve model performance

Benefits

• Competitive salary and performance-based incentives
• Comprehensive health, dental, and vision benefits package
• $200/mos Health and Wellness Stipend
• $400/year Continuing Education Credit
• Flexible work week
• Free parking, for in-office employees
• Unlimited PTO
• Parental, Bereavement Leave
• Supplemental Life Insurance