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Research Machine Learning Engineer
4 months ago
Performant model code, high-quality data, and robust evaluation methods form the foundation of an AI system. Scale’s leading end-to-end solutions for the ML lifecycle based on real-world data will continue to set the bar for the data-centric AI movement. Scale’s team focuses on building generative ML solutions for some of the largest companies in the world.
Your focus will be on partnering closely with cutting edge research institutes and publishing new advancements in ML and LLMs. You will be involved end-to-end in the research process, and be embedded on site with other ML researchers. If you are excited about shaping the future of the data-centric AI movement, we would love to hear from you
Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
Work with product and research teams to identify opportunities for ongoing and upcoming services.
Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.
At least 3 to 5 years of model training, deployment and maintenance experience in a production environment
Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) Solid background in algorithms, data structures, and object-oriented programming
Native fluency in speaking, writing, and reading Arabic
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.
Python), frameworks and tools such as DeepSpeed, Pytorch lightning, Kuberflow, TensorFlow, etc.
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. 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.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.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.
Are you fluent or proficient in Arabic? *
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