Machine Learning Engineer (Applied AI)

TL;DR

Machine Learning Engineer (Applied AI): Design, deploy, and optimize advanced machine learning models and AI-driven applications focused on integrity and trust of AI platforms. Focus on fine tuning large language models, scalable data pipelines, and production-ready AI solutions addressing adversarial threats and misuse.

Location: San Francisco, onsite

Salary: $250K – $555K + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity by safely pushing AI capabilities and deploying products.

What you will do

• Design and deploy advanced machine learning models to solve real-world problems related to platform integrity.
• Collaborate with researchers, engineers, and product managers to deliver AI-powered solutions.
• Optimize models for performance, accuracy, and scalability in production environments.
• Engage with latest AI developments and lead high-quality engineering practices.
• Monitor and maintain deployed models to ensure ongoing value and security.

Requirements

• Location: Must be able to work onsite in San Francisco
• Master's or PhD in Computer Science, Machine Learning, Data Science, or related field.
• Experience with deep learning, transformers, and frameworks like PyTorch or TensorFlow.
• Strong foundation in data structures, algorithms, and software engineering principles.
• Proactive problem-solving skills and ability to work collaboratively in dynamic environments.
• Familiarity with training and fine-tuning large language models is a plus.