Scale AI

Scale AI

Staff Machine Learning Engineer, Public Sector

Denver, CO; Washington, DC · Staff+ · Full-time

No sponsorship$274k-$343kDetected 4 days ago
TypeScriptPythonFull-Stack DevelopmentMachine LearningPyTorchLLMsAgentic AICybersecurityDesign SystemsSystems EngineeringManual TestingResearch

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

42 transfer filings in the last year, covering 42 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators.
  • This role will require an active TS security clearance.
  • The base salary range for this full-time position in the location of Washington DC is: $274,400 - $343,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.

Nice to have

  • Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets.
  • Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments.
  • Comfortable with light travel (approximately 10%) for customer interaction and team needs.
  • 8+ years of experience building and deploying applied ML systems in production environments.
  • Deep experience with agentic systems, autonomous workflows, or ML systems that reason and act over multiple steps.
  • Strong background in ML systems engineering, including model serving, pipelines, monitoring, and evaluation.
  • Experience making thoughtful tradeoffs across performance, cost, reliability, and development velocity.
  • Experience deploying ML systems into air-gapped, classified, or otherwise disconnected environments - customer data centers, on-prem infrastructure, or networks with no path to a cloud provider.

Compensation

  • packages at Scale for eligible roles include base salary, equity, and benefits.
  • Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director 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.
  • The base salary range for this full-time position in the location of Washington DC is: $274,400 - $343,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.
  • $274,400 - $343,000 USD

Benefits

  • comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
  • Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Company info

  • At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
  • We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. 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.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
  • We comply with the United States Department of Labor's Pay Transparency provision.
  • 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.
  • At Scale, our mission is to develop reliable AI systems for the world's most important decisions.
  • Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
  • We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
  • We are expanding our team to accelerate the development of AI applications.
  • We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace.
  • 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.com.
  • Please see the United States Department of Labor's Know Your Rights poster for additional information.
  • PLEASE NOTE: 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.
  • 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.

Visa & Work Authorization

  • This role will require an active TS security clearance
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This listing is sourced directly from Scale AI's careers page and normalized into a canonical job model.