AI Data Science / Software Engineering PhD Intern New 2027
Контакты
170 598 - 170 602$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
aipythonkubernetesdata sciencedockeretlmachine learningdeep learningsoftware engineeringmcp server
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$171к-171к/год
$90к$110кмедиана$140к
По похожим ролям (50) ~ $110к/год
88
Хорошая вакансия
развернуть
Company hidden предлагает понятную PhD-стажировку в прикладном ИИ с высокой оплатой и актуальными задачами в производстве, но работа проходит в офисе и доступна только действующим PhD-студентам.
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Только для PhDОплата выше рынкаСовременный стекИИ в производстве
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Data Science / Software Engineering PhD Intern New 2027 (AI/Data Science): Designing data-driven manufacturing solutions, predictive models, cloud ETL pipelines, dashboards, and an MCP server connecting manufacturing data with internal Gen AI and LLM services with an accent on machine learning, data analysis, and hardware-software integration. Focus on optimizing tool capacity, risk modeling, defect inspection, and conversational access to manufacturing data.
Location: On-site in Santa Clara, California, United States
Annual salary: $170,598–$170,602 USD
Company
hirify.global Foundry develops manufacturing and technology capabilities across hardware and software to support scalable computing solutions and connected systems.
What you will do
Design and implement data-driven solutions for tool capacity management, risk modeling, and defect inspection strategies.
Build robust cloud-based ETL pipelines and predictive machine learning models.
Deliver actionable insights through published reports and dashboards.
Build an MCP server connecting manufacturing data and analytical models to hirify.global’s internal Gen AI and LLM service.
Contribute to the design, development, and optimization of AI software across computer vision, machine learning, and deep learning domains.
Explore applied research opportunities and support hardware-software integration for scalable AI solutions.
Requirements
Must be pursuing a PhD in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related discipline.
At least 6 months of programming experience.
At least 3 months of experience with Git, Docker, Helm, Kubernetes, and MCP servers.
Proficiency in Python programming and machine learning techniques.
Nice to have
Experience with data analysis and visualization.
Knowledge of statistical analysis and modeling techniques.
Strong understanding of algorithms, data structures, and database fundamentals.
Culture & Benefits
Collaborative environment focused on technological innovation and applied research.
Hands-on experience contributing to impactful AI and manufacturing projects.
Health, retirement, and vacation benefits.
Competitive pay and stock bonuses.
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