Globalme (now Summa Linguae Technologies)
51 - 200 employees
🤖 Artificial Intelligence
🤝 B2B
💼 Consulting
Artificial Intelligence • B2B • Consulting
Globalme (now Summa Linguae Technologies) is a provider of human-generated multilingual data and language services that supports AI development and global communications. The company delivers ethically sourced training datasets (speech, text, image, and video), localization and translation services, and managed services such as project management and staffing to help businesses scale multilingual products and AI systems. The firm has repositioned parts of its offering under the DATAmundi/DATAmundi. ai brand to emphasize AI data services while retaining Summa Linguae Technologies as its legal name.
Research Engineer / AI Research Scientist
Job not on LinkedIn
🔥 34 minutes ago
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Globalme (now Summa Linguae Technologies)
51 - 200 employees
🤖 Artificial Intelligence
🤝 B2B
💼 Consulting
Artificial Intelligence • B2B • Consulting
Globalme (now Summa Linguae Technologies) is a provider of human-generated multilingual data and language services that supports AI development and global communications. The company delivers ethically sourced training datasets (speech, text, image, and video), localization and translation services, and managed services such as project management and staffing to help businesses scale multilingual products and AI systems. The firm has repositioned parts of its offering under the DATAmundi/DATAmundi. ai brand to emphasize AI data services while retaining Summa Linguae Technologies as its legal name.
📋 Description
• Design, develop, and execute AI/ML experiments and evaluation frameworks • Build and improve AI benchmarking methodologies for large language models and related systems • Analyze experimental results and provide data-driven insights • Develop scalable research tools using Python • Collaborate with cross-functional research and engineering teams • Maintain clean, reproducible code using Git and modern development practices • Contribute to research documentation and technical reports.
🎯 Requirements
• Master's or PhD in a STEM discipline such as Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Physics, Computational Sciences, or a related technical field • Experience in one or more of the following roles: Research Engineer, Research Scientist, Applied Scientist, Machine Learning Engineer, AI Researcher, Data Scientist • Strong proficiency in Python • Hands-on experience with Machine Learning, Large Language Models (LLMs), experimentation, and data analysis • Experience using Git, IDEs, and Jupyter Notebook/Google Colab environments • Excellent analytical, research, and problem-solving skills.
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