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Machine Learning Engineering Manager, Public Sector
1 month ago
At Scale, our Public Sector Machine Learning team develops and deploys cuttingedge AI systems into missioncritical government environments. From advanced computer vision pipelines to agentic LLM frameworks, our work directly supports national security and defense partners. We are looking for a Machine Learning Engineering Manager to lead this team of worldclass ML engineers and help shape the future of AI in the public sector.
Lead and grow a team of ML engineers delivering productionready 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, highstakes 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.
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.
Uptodate understanding of cutting edge ML research and production systems in your domain(s) of expertise.
Handson experience with deep learning frameworks (PyTorch, TensorFlow) and largescale ML infrastructure.
Background in deploying AI systems in highreliability or missioncritical contexts (public sector, defense, healthcare, finance, etc.).
Strong program management skills: ability to set strategy, manage multiple priorities, and deliver on commitments.
Graduate degree in Computer Science, Machine Learning, or related field.
Experience in public sector / defense AI programs.
Cloud platform (AWS/GCP/Azure) experience, especially in secure deployments.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including jobrelated skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Directors approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Please reference the job posting's subtitle for where this position will be located.
Base salary range for this fulltime position in the locations of San Francisco, New York, Seattle is: $240,450 $300,300 USD
Base salary range for this fulltime position in the locations of Washington DC, Texas, Colorado is: $216,300 $269,850 USD
Our policy requires a 90day waiting period before reconsidering candidates for the same role. At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the highquality data and fullstack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We are expanding our team to accelerate the development of AI applications.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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