Gray Swan AI
Machine Learning Engineer
$160K–$257K
Pittsburgh +1 · On-site · Full-time · Posted Sep 29, 2026
- Location
- Pittsburgh
Remote (U.S. or International) - Experience
- No number of years stated.
- Education
- Bachelor’s degree in Computer Science, Machine Learning, Engineering, or a related technical field is required.
- Visa sponsorship
- Visa sponsorship available for exceptional candidates
About the job
Build and deploy scalable machine-learning systems and research methods for adversarial testing, model evaluation, robust inference, and AI safety in production settings.
What you'll do
- Design, develop, and deploy machine-learning models and scalable systems.
- Develop approaches to adversarial testing, model evaluation, and robust inference, translating research into production systems.
- Advance methods for controlling, monitoring, and analyzing models in production; collaborate across teams.
What they ask for
- Bachelor’s degree in Computer Science, Machine Learning, Engineering, or a related technical field.
- Experience building and deploying machine-learning models and systems, including designing, training, and deploying deep-learning models.
- Practical experience developing scalable machine-learning pipelines and integrating them with cloud infrastructure.
- Experience conducting ML research, including prototype systems, experiment design, empirical analysis, and communicating results via publications.
Nice to have
- Strong programming experience in Python and C++.
- Experience with LLMs, synthetic data generation, AI safety or security, robustness testing, or adversarial testing.
Pay
$160-257k (base salary); $160K – $257K (total pay)
Tools
PyTorch, Python, C++, AWS, GCP, Azure, LLMs
AI focus
Applied AI safety and security research and engineering, including adversarial testing, model evaluation, robust inference, and production monitoring.
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