20 days ago
Responsibilities
- Design and deploy advanced LLM models to automate complex real-world processes.
- Build scalable data pipelines and optimize models for performance and accuracy.
- Prepare models for production and monitor and maintain deployed systems.
- Develop AI solutions for healthcare, government, energy, and other regulated-industry workflows.
- Work directly with government officials and collaborate with founders, AI researchers, software engineers, and cross-functional teams.
- Participate in code reviews, share knowledge, and uphold high-quality engineering practices.
Requirements
- Complete a bachelor’s degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field in Spring 2027.
- Have hands-on experience building GenAI applications such as agents, reasoning workflows, or RAG systems.
- Understand how large language models are architected and operated.
- Have personally implemented models using PyTorch, Jax, or TensorFlow.
- Demonstrate a strong foundation in data structures, algorithms, and software engineering principles.
- Have strong problem-solving and analytical skills and the ability to collaborate across teams.
- Be willing to own problems end-to-end and learn what is necessary to complete the work.
Benefits
- Competitive full-time compensation and benefits.
- Support and feedback from experienced platform engineers.
- Opportunity to work on real production systems used globally.
- Meaningful ownership from day one with room to grow.
- Daily lunches if onsite.
Tech Stack
PyTorchTensorFlow
Categories
About Brain Co.
We're building an AI platform and applications for the world's most important institutions. Learn more at https://brain.co/