Production ML Engineer: Real-World AI for Global Impact

Brain Co.; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Daily lunches

Job summary

Brain Co. in San Francisco seeks a Machine Learning Engineer to deploy state-of-the-art models and automate real-world problems in healthcare, government, and energy. You will translate research breakthroughs into practical solutions and work on production systems used globally.

You will collaborate with ex-founders, AI researchers, and software engineers to deliver impactful AI-powered solutions while staying at the forefront of ML development and engineering practices.

Qualifications

• Hands-on experience building GenAI-focused applications (agents, reasoning workflows, or RAG).
• Solid understanding of how large language models are architected and operated.
• Experience with common ML frameworks: PyTorch, JAX, TensorFlow.

Responsibilities

• Design and deploy advanced LLM models to tackle real-world problems across sectors.
• Build scalable data pipelines and optimize models for performance and accuracy.
• Monitor and maintain deployed models to ensure sustained value across governments and industries.
• Collaborate with leaders and engineers to deliver AI-powered solutions and share knowledge.

Skills

GenAI applications

LLM concepts

Data structures & algorithms

Education

Bachelor’s degree in CS/Engineering/ML/DS

Tools

PyTorch

JAX

TensorFlow

Job description

Brain Co. in San Francisco seeks a Machine Learning Engineer to deploy state-of-the-art models and automate real-world problems in healthcare, government, and energy. You will translate research breakthroughs into practical solutions and work on production systems used globally.

You will collaborate with ex-founders, AI researchers, and software engineers to deliver impactful AI-powered solutions while staying at the forefront of ML development and engineering practices.