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8 дней назад

AI Data Science / Software Engineering PhD Intern New 2027

170 598 - 170 602$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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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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