Scale AI
Machine Learning Engineering Manager, Public Sector
Scale AI, Washington, District of Columbia, us, 20022
Overview
Machine Learning Engineering Manager, Public Sector at Scale. Our Public Sector Machine Learning team develops and deploys AI systems into mission-critical government environments, including computer vision pipelines and agentic LLM frameworks, to support national security and defense partners. We are looking for a Machine Learning Engineering Manager to lead this team of ML engineers and help shape the future of AI in the public sector. You will combine strong technical expertise with people leadership to guide the team in delivering production-grade ML systems across modalities while aligning with product, research, and government partner needs. You will work with large language models, computer vision, reinforcement learning, and agentic AI to lead research projects and turn them into scalable production systems. This role balances hands-on technical oversight, mentorship, and execution strategy in a fast-paced, mission-driven environment. Responsibilities
Lead and grow a team of ML engineers delivering production-ready AI systems for public sector customers. Provide technical direction and mentorship on projects spanning agentic LLM frameworks, reinforcement learning, generative AI, and computer vision. Collaborate with research, product, and infrastructure teams to align technical roadmaps with organizational and customer priorities. Drive operational excellence: establish best practices for model development, deployment, evaluation, and monitoring in secure, high-stakes environments. Partner with public sector stakeholders to translate mission needs into scalable ML solutions. Work closely with public sector customers to scope and deliver AI applications. Ensure effective prioritization and resourcing across multiple programs and customer engagements. Cultivate a strong engineering culture that values collaboration, innovation, accountability, and impact. Support career development, performance reviews, and hiring to expand the team. Ideal qualifications
US citizenship and US Government Security Clearance is a requirement (TS/SCI preferred). Proven experience managing and mentoring ML or AI engineering teams, ideally in applied research or production ML environments. Strong technical background in one or more of: computer vision, generative AI/LLMs, reinforcement learning, or agentic systems. Up-to-date understanding of cutting edge ML research and production systems in your domain(s) of expertise. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and large-scale ML infrastructure. Background in deploying AI systems in high-reliability or mission-critical contexts (public sector, defense, healthcare, finance, etc.). Ability to communicate technical concepts effectively to both technical and non-technical stakeholders, including government partners. Strong program management skills: ability to set strategy, manage multiple priorities, and deliver on commitments. Nice to have
Graduate degree in Computer Science, Machine Learning, or related field. Experience in public sector / defense AI programs. Familiarity with evaluation frameworks for LLMs and multi-agent systems. Cloud platform experience (AWS/GCP/Azure), especially in secure deployments. About the compensation and benefits
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed reflects the minimum and maximum target for new hire salaries, determined by location and other factors. You’ll also receive benefits including health, dental, and vision coverage, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Salary range for San Francisco, NY, Seattle: $229,000—$286,000 USD; for Washington DC: $206,000—$257,000 USD. Please note: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. About Scale
At Scale, our mission is to develop reliable AI systems for important decisions. We work with industry partners and government agencies to help enterprises and governments deploy and oversee AI applications. We are an inclusive, equal opportunity workplace. We comply with applicable laws and provide reasonable accommodations in the application process. Location
Location details referenced in the posting subtitle. For salary transparency, base ranges are provided for certain locations as noted above.
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Machine Learning Engineering Manager, Public Sector at Scale. Our Public Sector Machine Learning team develops and deploys AI systems into mission-critical government environments, including computer vision pipelines and agentic LLM frameworks, to support national security and defense partners. We are looking for a Machine Learning Engineering Manager to lead this team of ML engineers and help shape the future of AI in the public sector. You will combine strong technical expertise with people leadership to guide the team in delivering production-grade ML systems across modalities while aligning with product, research, and government partner needs. You will work with large language models, computer vision, reinforcement learning, and agentic AI to lead research projects and turn them into scalable production systems. This role balances hands-on technical oversight, mentorship, and execution strategy in a fast-paced, mission-driven environment. Responsibilities
Lead and grow a team of ML engineers delivering production-ready AI systems for public sector customers. Provide technical direction and mentorship on projects spanning agentic LLM frameworks, reinforcement learning, generative AI, and computer vision. Collaborate with research, product, and infrastructure teams to align technical roadmaps with organizational and customer priorities. Drive operational excellence: establish best practices for model development, deployment, evaluation, and monitoring in secure, high-stakes environments. Partner with public sector stakeholders to translate mission needs into scalable ML solutions. Work closely with public sector customers to scope and deliver AI applications. Ensure effective prioritization and resourcing across multiple programs and customer engagements. Cultivate a strong engineering culture that values collaboration, innovation, accountability, and impact. Support career development, performance reviews, and hiring to expand the team. Ideal qualifications
US citizenship and US Government Security Clearance is a requirement (TS/SCI preferred). Proven experience managing and mentoring ML or AI engineering teams, ideally in applied research or production ML environments. Strong technical background in one or more of: computer vision, generative AI/LLMs, reinforcement learning, or agentic systems. Up-to-date understanding of cutting edge ML research and production systems in your domain(s) of expertise. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and large-scale ML infrastructure. Background in deploying AI systems in high-reliability or mission-critical contexts (public sector, defense, healthcare, finance, etc.). Ability to communicate technical concepts effectively to both technical and non-technical stakeholders, including government partners. Strong program management skills: ability to set strategy, manage multiple priorities, and deliver on commitments. Nice to have
Graduate degree in Computer Science, Machine Learning, or related field. Experience in public sector / defense AI programs. Familiarity with evaluation frameworks for LLMs and multi-agent systems. Cloud platform experience (AWS/GCP/Azure), especially in secure deployments. About the compensation and benefits
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed reflects the minimum and maximum target for new hire salaries, determined by location and other factors. You’ll also receive benefits including health, dental, and vision coverage, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend. Salary range for San Francisco, NY, Seattle: $229,000—$286,000 USD; for Washington DC: $206,000—$257,000 USD. Please note: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. About Scale
At Scale, our mission is to develop reliable AI systems for important decisions. We work with industry partners and government agencies to help enterprises and governments deploy and oversee AI applications. We are an inclusive, equal opportunity workplace. We comply with applicable laws and provide reasonable accommodations in the application process. Location
Location details referenced in the posting subtitle. For salary transparency, base ranges are provided for certain locations as noted above.
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