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An innovative firm is seeking a Head of Public Sector Operations to lead their computer vision team. In this pivotal role, you will drive the efficiency of AI applications for national security by managing a high-performing team and optimizing data workflows. Your analytical mindset and operational expertise will be crucial in tackling complex challenges and fostering cross-functional collaboration. Join this forward-thinking company at the forefront of AI transformation, where your contributions will significantly impact the future of technology in public service. This is an exciting opportunity to shape the future of AI in national defense and beyond.
St. Louis, MO; Washington, DC
Head of Public Sector Operations, Computer Vision
Locations: Washington DC, St. Louis
Scale's Public Sector 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. You will be a leader on Scale’s Public Sector computer vision (CV) team and responsible for spearheading the operational elements of producing high-quality training data.
We are looking for someone who excels at developing cross functional relationships, possesses a desire to instantiate processes that drive efficiency and quality of output, and is capable of leading high performing teams.
You will:
You have:
Nice to haves:
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 job-related skills, experience, interview performance, and relevant education or training. 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. 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. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full-time position in the location of Washington DC is:
$155,000 - $233,000 USD
PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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.
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