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Machine Learning Engineer

A software company building a decentralized AI development platform that enables powerful AI using limited amounts of data.
Machine Learning
Mid-Level Software Engineer
In-Person
2+ years of experience
AI
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Description For Machine Learning Engineer

webAI is revolutionizing the AI landscape with their decentralized AI development platform that challenges the conventional wisdom of needing big data for powerful AI applications. As a Machine Learning Engineer at webAI, you'll be at the forefront of developing cutting-edge NLP and Large Language Models that can perform effectively with limited datasets. The role offers a unique opportunity to work with state-of-the-art transformer architectures while contributing to a platform that's changing the paradigm of AI development.

You'll be joining a dynamic and fast-growing team that values innovation, continuous learning, and collaborative problem-solving. The position requires expertise in Python and modern ML frameworks, with a focus on natural language processing and model optimization. You'll work closely with senior engineers and researchers to bring theoretical advancements into practical applications.

The company culture is built on strong core values including Truth, Ownership, Tenacity, and Humility, fostering an environment where transparency, responsibility, persistence, and respect are paramount. webAI offers comprehensive benefits including competitive compensation, health benefits, wellness stipends, education credits, and flexible work arrangements.

This role is perfect for someone who is passionate about NLP, enjoys working with transformer architectures, and wants to make a significant impact in the field of AI. You'll have the opportunity to shape the future of AI development while working with a team that values both professional growth and work-life balance. The position is based in Austin, TX, offering the excitement of working in one of America's fastest-growing tech hubs.

Last updated a day ago

Responsibilities For Machine Learning Engineer

  • Develop and optimize LLM-based models for tasks such as text classification, summarization, and language generation
  • Contribute to preprocessing and preparation of datasets, including tokenization and feature extraction
  • Experiment with transformer architectures (e.g., BERT, GPT) to improve model performance
  • Work with Python and key NLP libraries (e.g., Hugging Face Transformers, TensorFlow, PyTorch)
  • Participate in code reviews, design discussions, and collaborative development with cross-functional teams
  • Stay current with research in NLP/LLMs and bring relevant innovations into our production workflows

Requirements For Machine Learning Engineer

Python
  • 2+ years of professional experience in machine learning, with a focus on NLP and LLMs
  • Bachelor's degree in Computer Science, Machine Learning, or related field (Master's preferred)
  • Strong understanding of transformer-based models and NLP workflows
  • Proficiency in Python and libraries such as Hugging Face, TensorFlow, and/or PyTorch
  • Excellent communication skills and a passion for continuous learning and problem-solving

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Education Budget
Parental Leave
  • Competitive salary and performance-based incentives
  • Comprehensive health, dental, and vision benefits package
  • $200/month 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

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