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
