Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия обещает работу с LLM-системами в продакшене и сильное наставничество, но оплата не указана, а формат занятости описан противоречиво.
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Текст:
Hirify AI/Оригинал
TL;DR
AI/ML Engineer Co-op Intern (LLM): Designing, building, and deploying machine learning systems and LLM-powered applications for healthcare, government, and energy workflows with an accent on data pipelines, model training, and production deployment. Focus on working with structured and unstructured data, evaluating and optimizing models, and collaborating on real-world AI systems under customer-facing constraints.
Location: San Francisco Bay Area, United States; hybrid work arrangement
Company
hirify.global builds AI-native operating systems for large, regulated institutions, including government, healthcare, insurance, and financial services.
What you will do
Design, build, and deploy LLM-powered applications that automate complex workflows.
Build and improve data pipelines and support model training, evaluation, and optimization.
Work with structured and unstructured data, including text, documents, and logs.
Prepare machine learning systems for production deployment and monitoring.
Collaborate with senior engineers, AI researchers, and product teams.
Participate in code reviews and design discussions while working on customer-facing systems.
Requirements
Current undergraduate student in junior or senior year, pursuing Computer Science, Machine Learning, Data Science, or a related field.
Programming experience with Python.
Coursework or project experience in machine learning or AI.
Exposure to or interest in large language models and generative AI applications, including agents, retrieval-augmented generation, or reasoning workflows.
Experience with or willingness to learn PyTorch, JAX, or TensorFlow.
Strong fundamentals in data structures and algorithms, with a proactive approach to learning and problem ownership.
Culture & Benefits
Winter/Spring co-op period: January 11, 2027 – April 30, 2027.
Competitive co-op compensation.
Hands-on mentorship from experienced AI engineers and researchers.
Opportunity to work on real production systems used globally.
Potential consideration for future internships or full-time roles.
Daily lunches when working onsite.
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