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Description:
webAI is a software company focused on building a decentralized AI development platform that enables powerful AI development using limited data.
The company is looking for a Senior Machine Learning Engineer with expertise in Large Language Models (LLMs) and Natural Language Processing (NLP).
The role involves developing and deploying state-of-the-art NLP models for webAI’s platform.
Responsibilities include designing, building, and fine-tuning LLMs and NLP models for language understanding and generation.
The engineer will extend existing LLM frameworks and libraries, preprocess text datasets, implement MLOps best practices, and collaborate with cross-functional teams.
Staying updated on LLM advancements and applying the latest research to improve model performance is also a key responsibility.
Requirements:
Candidates must have 5+ years of experience in machine learning, specifically in NLP and LLMs.
A Bachelor’s degree is required, with a Master’s preferred, in Computer Science, Machine Learning, or a related field.
Expertise in transformer architectures such as GPT and BERT, text preprocessing, and feature engineering is essential.
Proficiency in Python and NLP libraries like Hugging Face, TensorFlow, and PyTorch is required.
Experience with MLOps tools such as MLFlow and Kubeflow is necessary.
Strong communication skills and a passion for learning are also required.
Benefits:
The position offers a competitive salary along with performance-based incentives.
A comprehensive health, dental, and vision benefits package is provided.
Employees receive a $200/month Health and Wellness Stipend and a $400/year Continuing Education Credit.
The company offers a flexible work week and free parking for in-office employees.
Unlimited Paid Time Off (PTO) is available, along with parental and bereavement leave.
Supplemental Life Insurance is also part of the benefits package.