TL;DR

Research Engineer (AI Safety): Develop and deploy advanced machine learning models focused on AI safety and trustworthiness with an accent on model training, safety mitigations, and scalable ML systems. Focus on designing safety measures across AI model development stages, collaborating with cross-functional teams, and ensuring responsible AI deployment.

Location: San Francisco, onsite

Salary: $310,000–$550,000 + equity

Company

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

What you will do

Design and deploy advanced machine learning models addressing real-world AI safety challenges.
Implement safety measures at all stages of AI model development and deployment including data filtration, evaluation, and continuous monitoring.
Collaborate closely with researchers, engineers, and product managers to deliver AI-powered safety solutions.
Optimize and scale data pipelines and models for production readiness and performance.
Lead by example through code reviews and knowledge sharing to maintain high engineering standards.
Monitor deployed models to ensure ongoing alignment with safety and human values.

Requirements

Location: Must be able to work onsite in San Francisco
Experience with deep learning and transformer models.
Proficiency in PyTorch or TensorFlow frameworks.
Strong foundation in data structures, algorithms, and software engineering principles.
Familiarity with training and fine-tuning large language models including distillation and policy optimization.
Ability to collaborate effectively with cross-functional teams.