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Scale is seeking a Machine Learning Engineer for their Global Public Sector team, focusing on developing AI systems for significant public sector challenges. The ideal candidate should have a strong research background and expertise in AI safety, with the ability to contribute to high-impact AI applications that affect millions globally.
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Job Summary
Scale’s mission is to develop reliable AI systems for the world's most important decisions, creating custom AI applications that will impact millions of citizens.
Your mission will involve leading research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues.
You will pioneer novel architectures, lead AI safety initiatives, drive deep research capabilities, and consult as a subject matter expert for public sector leaders.
Matching Summary
Match Score: 75
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Scale is seeking a Machine Learning Engineer for their Global Public Sector team, focusing on developing AI systems for significant public sector challenges. The ideal candidate should have a strong research background and expertise in AI safety, with the ability to contribute to high-impact AI applications that affect millions globally.
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Skills & Requirements
Must-have
Pioneer novel architectures
Lead AI safety initiatives
Drive deep research capabilities
Publish and contribute research
Consult as subject matter expert
Build evaluation frontiers
Nice-to-have
Experience with large-scale distributed training
Experience building reliable agentic systems
Experience in Sovereign AI
Zero-to-one mindset
Key Requirements
PhD or Master’s in Computer Science, Mathematics, or related field
Portfolio of first-author publications at major conferences
Strong proficiency in Python and deep learning frameworks
Experience in alignment, robustness, or interpretability research