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Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
- Creating custom AI applications that will impact millions of citizens
- Generating high-quality training data for national LLMs
- Upskilling and advisory services to spread the impact of AI
As a Machine Learning Engineer, you’ll use the latest research as you design, train, deploy, and evaluate computer vision and/or language models to power the custom applications we build for our public sector clients.
At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.
You will:
- Partner with public sector counterparts to deeply understand their challenges
- Apply the latest research as you design custom models or chains of models
- Collaborate closely with our data annotation teams to create high-quality training datasets
- Train, optimize, and deploy models into challenging production environments
- Develop and maintain robust evaluation systems
- Participate in customer engagements, including occasional travel (approximately one week per quarter)
- Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
Ideally, you’d have:
- 2+ years of computer vision and/or language model training, deployment, evaluation, and maintenance experience in a production environment
- Master’s or equivalent work experience
- Software engineering experience with demonstrated proficiency in Python, TypeScript/JavaScript, C++ or similar
Nice to haves:
- Experience working at a startup
- Experience dealing with large-scale AI problems
- Strong written and verbal communication skills to operate in a cross-functional team environment
- Proficiency in Arabic (if focused on language models)
- Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.
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 [email protected]. 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.
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. 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.
