Scale is growing rapidly, and joining the Global International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved:

  • Building custom LLMs
  • Providing high-quality training data for research institutions building LLMs from scratch
  • Partnerships, upskilling, and advisory

As the first MLRE hire on the team, you will partner closely with premier research institutions in the Middle East that are building Arabic-native LLMs to do cutting-edge multilingual research, publish new advancements in ML and multilingual LLMs, and more. Additionally, you will be responsible for scoping and ideating on the optimal ways to approach custom LLM solutions for various use cases. 

You will be involved end-to-end in the research process and potentially be embedded onsite with these institutions’ researchers. If you are excited about shaping the future of the data-centric AI movement, we would love to hear from you!

You will: 

  • Publish cutting-edge research in building Arabic / multilingual LLMs
  • Ideate on the best and most useful ways to evaluate quality for Arabic LLMs specifically (especially dialectic and safety) 
  • Scope custom LLM solutions and approaches to solve real-world problems for our public sector customers
  • Quickly prototype and build new deep learning models targeted at frontier capabilities

You have:

  • At least 3 to 5 years of model training, deployment and maintenance experience in a production environment
  • Strong skills in NLP, LLMs and deep learning 
  • Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
  • Native or highly proficient fluency in speaking, writing, and reading Arabic

Nice to haves:

  • Experience in dealing with large scale AI problems, ideally in the generative-AI field
  • Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc. 
  • Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, Kuberflow, TensorFlow, etc. 
  • Strong written and verbal communication skills to operate in a cross functional team

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 affirmative action employer and 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

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.

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)


Enter the verification code sent to to confirm you are not a robot, then submit your application.

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.