Machine Learning Engineer

Austin, TX | Full-Time

Ready to help reinvent how AI is built? Our client is a fast-moving team in Austin developing next-generation technology that challenges the idea that “bigger data means better AI.” Their mission is bold: build smarter, more efficient intelligence systems that learn from less—without sacrificing performance.

We’re looking for a Machine Learning Engineer who’s passionate about large language models, transformer architectures, and solving complex real-world problems. If you thrive in high-energy startup environments and love turning cutting-edge research into working products, you’ll fit right in.

What You’ll Do

Design, train, and optimize transformer-based models for text classification, summarization, and generation
Build efficient pipelines for data preprocessing, tokenization, and feature extraction
Experiment with models like BERT, GPT, and beyond to push performance boundaries
Collaborate with experienced engineers and researchers to scale NLP systems that deliver real impact
Stay on the pulse of new research and bring fresh ideas into production

What You Bring

2+ years of professional experience in Machine Learning, with a focus on NLP or LLMs
Strong understanding of transformer architectures and NLP workflows
Proficiency in Python and tools like Hugging Face, TensorFlow, or PyTorch
A curious, problem-solving mindset and a love for continuous learning
A willingness to take ownership, stay scrappy, and move fast

Stelvio Inc.

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Machine Learning Engineer