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AI/ML Engineer, 2027 New Grad

Brain Co.· Engineering
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Hybrid (San Francisco Bay Area)$0Full-timePosted 4d ago

About the role

Machine Learning Engineer role focused on deploying state-of-the-art models to automate real-world problems across sectors such as healthcare, government, and energy, turning research breakthroughs into practical, production-ready AI solutions.

Responsibilities

  • Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
  • Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
  • Make a Difference: Engage in projects including but not limited to optimizing energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.
  • Engage with Leaders: interact directly with government officials in various countries and apply AI solutions while collaborating with founders, AI researchers, and software engineers to understand challenges and deliver AI-powered solutions.
  • Learn and Lead: Keep abreast of ML/AI developments, participate in code reviews, share knowledge, and uphold high-quality engineering practices.

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) and understanding of large language models architecture and operation.
  • Experience implementing models in ML frameworks such as PyTorch, Jax, or TensorFlow.
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Excellent problem-solving and analytical skills; proactive approach to challenges.
  • Ability to work collaboratively with cross-functional teams.
  • Ability to thrive in fast-paced environments with shifting priorities.
  • Willingness to own problems end-to-end and acquire necessary knowledge to get the job done.

Skills

Required:GenAI-focused applicationsLarge language modelsML frameworksProblem solvingCollaboration

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 alongside the team
  • Daily lunches (if onsite)
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Brain Co.

AI for the world's most important institutions

Building an AI platform and applications to deliver impact for real-world problems.

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