ML Engineer: AI Safety & Scalable Systems (Flexible)

Gray Swan; United States; On-site; USD 160,000 - 257,000; Full time

Benefits offered by this job

401k match

Paid time off

Health insurance

Catered lunches (Pittsburgh)

Flexible work

Visa sponsorship

Job summary

Gray Swan AI is seeking a Machine Learning Engineer to help shape the future of AI safety solutions. The role blends applied research with building scalable systems for adversarial testing, model evaluation, and robust inference in real deployment environments.

You will work at the boundary of research and production, translating cutting-edge ideas into practical, production-ready AI solutions while collaborating with cross-functional teams to ensure research outcomes feed into production

Qualifications

• Bachelor-level degree in a technical field is required.
• Experience building and deploying ML models and systems.

Responsibilities

• Lead design, development, and deployment of advanced ML models for performance and scalability.
• Tackle challenges with resource-intensive models using distributed systems.
• Advance methodologies for monitoring and analyzing models in production.
• Translate research ideas into scalable AI systems deployed in real-world settings.

Skills

Python

C++

PyTorch

Distributed systems

ML research

Cloud infrastructure

LLMs

Education

Bachelor's degree in CS/ML/Engineering

Tools

AWS

GCP

Azure

Job description

Gray Swan AI is seeking a Machine Learning Engineer to help shape the future of AI safety solutions. The role blends applied research with building scalable systems for adversarial testing, model evaluation, and robust inference in real deployment environments.

You will work at the boundary of research and production, translating cutting-edge ideas into practical, production-ready AI solutions while collaborating with cross-functional teams to ensure research outcomes feed into production