Applied AI Scientist, Small Language Model And AI Training
Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500.
What this role actually needs.
Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Responsibilities: - Lead research and development of novel training methodologies and architectures for small and efficient language models. - Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models. - Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies. - Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications. - Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluated rigorously. - Mentor and support cross-functional teams on applied machine learning methods and best practices. Company context: Postman is the API platform — used by 30+ million developers — for design, testing, monitoring, and collaboration.
Day-to-day expectations
Postman lists these responsibilities for the Applied AI Scientist, Small Language Model And AI Training role.
- Lead research and development of novel training methodologies and architectures for small and efficient language models.
- Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models.
- Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies.
- Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications.
- Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluated rigorously.
- Mentor and support cross-functional teams on applied machine learning methods and best practices.
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Source: job-boards.greenhouse.io · Source ID: 7452539003 · Confidence: 88/100 · Last checked: May 7, 2026
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