Machine Learning Research Engineer (Computer Vision), International Public Sector EPD Middle East

Scale is growing rapidly, and joining the International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team generates, executes, and fosters Scale’s work outside the United States. There are three core types of work involved: Providing high-quality training data for research institutions building LLMs from scratch Partnerships, upskilling, and advisory As a Machine Learning Research Engineer, you’ll be at the forefront of building models as a service, transforming real-world business problems through cutting-edge computer vision and large-vision language models. This is an extraordinary opportunity to take full ownership and make a significant impact in the data-centric AI movement. We are looking for individuals who are passionate about AI, eager to drive innovation, and excited by ambitious challenges. Join us in revolutionizing government operations with AI and work on production use cases that truly harness the power of AI models to solve complex problems. You will: Dive into and implement groundbreaking research in computer vision and large vision-language models. Design and build agent workflows that leverage customized models for downstream tasks, including hybrid solutions with LLMs. Translate customer needs into innovative AI solutions tailored for government applications. Work with vast, unstructured visual and multimodal datasets to develop robust models. Create and maintain robust evaluation systems. Collaborate closely with our data annotation teams to train models on high-quality datasets. Travel one week quarterly to engage with customers and understand their unique challenges firsthand. Minimum Qualifications: At least 2+ years of model training, deployment and maintenance experience in a production environment. Strong skills in computer vision and/or large vision-language models. Willing and able to travel to client sites in the Middle East for one week each quarter. Ideal Qualifications: Strong skills in NLP, LLMs, and deep learning. Experience working at a startup or in a forward-deployed role. Strong written and verbal communication skills to operate in a cross-functional team environment. Proficient in reading and writing in Arabic. Experience in dealing with large-scale AI problems. Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals. #J-18808-Ljbffr