AI/ML Engineer

Global Brain Corporation

. Design and deploy advanced LLM models for real-world problems and complex manual processes .

Posted 10/21/2026full-timeSan Francisco • California • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying advanced LLM models, optimizing performance, and building scalable data pipelines. Proficient in collaborating with cross-functional teams to deliver AI-powered solutions in sectors such as energy, government, and public healthcare.

Highest-signal resume keywords

Large Language Model ArchitectureGenAI Application DevelopmentModel Implementation in PyTorchData Structures and AlgorithmsCollaborative Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Large Language ModelsGenAI ApplicationsData PipelinesModel OptimizationMachine LearningSoftware Engineering PrinciplesAlgorithmsData ScienceComputer ScienceEngineering

Soft Skills

Problem-SolvingAnalytical SkillsCollaborationAdaptabilityInterpersonal Skills

Tools & Technologies

PyTorchJaxTensorFlow

Industry Keywords

AI ApplicationsEnergy SectorGovernmentPublic Healthcare

Tech Stack

Tools & technologies

PyTorchSpringTensorflow

About the role

Key responsibilities & impact

Design and deploy advanced LLM models for real-world problems and complex manual processes
Build scalable data pipelines and optimize models for performance and accuracy
Prepare models for production and monitor and maintain deployed models
Work on AI applications in energy, government, and public healthcare
Interact directly with government officials in various countries
Collaborate with founders, AI researchers, and software engineers to understand business challenges and deliver AI-powered solutions
Participate in software building, product management, sales, and interpersonal activities
Keep abreast of machine learning and AI developments
Participate in code reviews, share knowledge, and promote high-quality engineering practices

Requirements

What you’ll need

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, such as agents, reasoning workflows, or RAG
Solid understanding of how large language models are architected and operated
Personally implemented models in PyTorch, Jax, or TensorFlow
Strong foundation in data structures, algorithms, and software engineering principles
Excellent problem-solving and analytical skills
Ability to work collaboratively with cross-functional teams
Ability to thrive in fast-paced environments where priorities or deadlines may compete
Eagerness to own problems end-to-end and acquire necessary knowledge
Legally authorized to work in the United States

Benefits

Comp & perks

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)