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Scale AI, Inc.

Operations Manager, Public Sector Public Sector Washington, DC

Scale AI, Inc., Washington, District of Columbia, us, 20022


Scale's Federal customer base is growing rapidly, and you will be on the front lines of machine learning (ML) operations to accelerate the development of artificial intelligence (AI) applications for the Department of Defense and other national security customers. As a Federal Operations Manager, you have complete project-level ownership of the operations of our data labeling system and are responsible for delivering data on time and at a high level of quality. You will build a team of high-quality data quality specialists, leverage structured problem-solving to drive operational efficiencies and work cross-functionally with other Scale teams.You will also be a front-line touch point for Scale’s customers. All of this serves an ultimate goal of delivering outsize value in supporting our customer’s AI / ML objectives.You will:

Own and execute data annotation workflows across diverse data types (geospatial imagery, text, etc)Drive operational efficiencies on data annotation workflows and improve data quality to achieve machine learning outcomesLead cross-functional initiatives with engineering, product, analytics, and delivery teams (as well as relevant experts) to achieve project outcomesCommunicate with and shape outcomes for Scale’s strategic customers across the Department of Defense and national security customersYou have:

An active TS-SCI security clearance3+ years of experience in a general manager/program manager position or a similar leadership role in operationsExperience working in a fast-paced environmentGreat cross-functional experience and collaborative abilityExcellent verbal and written communicationAn analytical, problem-solving, and grit mindset to deliver resultsIntellectual interest in machine learning and a strong desire to do impactful work in support of the U.S. governmentA willingness to work onsite in a secure facility in the D.C, Maryland, and Virginia areasNice to haves:

A technical background (education or professional experience with computer science, economics, statistics, or engineering)SQL knowledgeExperience with lean process improvement, Six Sigma, Toyota Production System, etc.Experience working in and/or with the U.S. government

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