Machine Learning Engineer

About Us:

webAI is a software company that is building a decentralized AI development platform. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI.  webAI offers opportunities to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture.

What’s the Job?

We are looking for a Machine Learning Engineer with hands-on experience in Natural Language Processing (NLP) and Large Language Models (LLMs). This role is ideal for someone who enjoys working on cutting-edge transformer architectures, text analytics, and model optimization. You'll support the development of webAI’s core platform by building and deploying NLP models that can scale efficiently and deliver real-world impact.

You’ll collaborate with senior engineers and researchers to bring the latest advancements in LLMs to life, contributing to the development of scalable AI systems that operate effectively on limited datasets.

Key Responsibilities:

• 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

Required Skills & Experience:

• 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

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

• Truth - Emphasizing transparency and honesty in every interaction and decision.

• Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.

• Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. 

• Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

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

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.