Machine Learning Engineer, 2027 New Grad

The role

You will design and deploy advanced LLM models to automate complex manual processes. You will build scalable data pipelines, optimize models for performance, and monitor deployed models for various governments.

What you will do

• Design and deploy advanced LLM models to tackle real-world problems.
• Build scalable data pipelines.
• Optimize models for performance and accuracy.
• Prepare models for production.
• Monitor and maintain deployed models.
• Interact directly with government officials.
• Participate in code reviews.
• Share knowledge and set an example with high-quality engineering practices.

Required qualifications

• Expect to complete a bachelor’s degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field in Spring 2027.
• Hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG).
• Solid understanding of how large language models are architected and operated.
• Personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
• Strong foundation in data structures, algorithms, and software engineering principles.
• Excellent problem-solving and analytical skills.
• Can work collaboratively with cross-functional teams.
• Thrive in fast-paced environments where priorities or deadlines may compete.
• Eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.

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
• Daily lunches (if onsite)

Before you apply

• Completing a bachelor’s degree in Spring 2027.

About the company

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward.