Machine Learning Engineer (AI Safety)

Location: Pittsburgh office or remote in the U.S. or internationally

Salary: $160,000–$257,000 annual base salary, plus performance-based bonus and equity

Company

hirify.global develops AI safety solutions, including AI model evaluations, real-time threat detection, and adaptive adversarial red-teaming agents.

What you will do

• Design, develop, and deploy advanced machine learning models for performance and scalability.
• Build distributed and parallel systems for resource-intensive models.
• Develop approaches to adversarial testing, model evaluation, robust inference, and AI safety monitoring.
• Translate research ideas and prototypes into scalable AI systems for production and adversarial environments.
• Control, monitor, and analyze machine learning models in production.
• Collaborate with cross-functional teams to integrate research outcomes into production systems.

Requirements

• Bachelor’s degree in Computer Science, Machine Learning, Engineering, or a related technical field.
• Experience building and deploying machine learning models and systems.
• Expertise designing, training, and deploying deep learning models with frameworks such as PyTorch.
• Strong programming experience in Python; C++ experience is preferred.
• Experience developing scalable machine learning pipelines and integrating them with AWS, GCP, Azure, or similar cloud infrastructure.
• Experience with ML research, experiment design, empirical analysis, research prototypes, and communicating results through publications.

Nice to have

• Experience with LLM training, fine-tuning, or analysis.
• Experience with synthetic data generation pipelines.
• Background in AI safety, security assessments, adversarial testing, model validation, robustness testing, or continuous safety monitoring.
• Knowledge of sequence models, transformers, neural network architectures, ML theory, optimization, and large-scale multimodal datasets.

Culture & Benefits

• Work at the intersection of AI research and production engineering with direct real-world impact.
• Collaborate with specialists in AI safety and leading AI laboratories.
• Fast-paced startup environment with a high degree of ambiguity and ownership.
• 401(k) with up to 4% matching, health, dental, and vision coverage.
• 28 days of annual leave, flexible work arrangements, and catered lunches at the Pittsburgh office.
• Visa sponsorship is available for exceptional candidates.