6 дней назад
Electrical/Hardware Engineering Intern (AI)
45 - 52$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Electrical/Hardware Engineering Intern (AI) (Python/SQL, Data Pipelines): Building connected datasets, repeatable data pipelines, and AI/ML-driven workflows for R&D operations with an accent on data integration, validation, and engineering process automation. Focus on applying machine-learning methods to experimental data, improving data quality, and creating reliable technical solutions for engineering stakeholders.
Location: Corvallis, Oregon, United States of America. The role is full-time and requires current eligibility to work in the US, with the ability to obtain US work authorization in 2027 without future sponsorship.
Salary: $45–$52 per hour for US candidates.
Company
is a technology company with products and services spanning printing, personal computing, software, and services.
What you will do
- Design and build connected datasets and repeatable data pipelines for R&D applications.
- Integrate data from multiple sources and improve data-joining processes.
- Develop validation methods that improve data quality, consistency, and reliability.
- Create Python and SQL solutions to streamline engineering workflows and reduce manual work.
- Apply AI and machine-learning methods to experimental data to identify patterns and generate insights.
- Document technical solutions and collaborate with engineering, software, and data stakeholders.
Requirements
- Currently pursuing a Ph.D. in Computer Science, Mechanical Engineering, Chemistry, Chemical Engineering, Data Science, or a related technical field.
- Full-time enrollment at an accredited university.
- No more than 24 months of professionally related prior work experience, excluding internships, teaching assistance, research work, and military experience.
- Current US work eligibility and the ability to obtain work authorization in the United States in 2027 without future sponsorship.
- Experience with programming, data analysis, databases, or engineering data workflows.
- Knowledge of Python, SQL, SQL Server, data-pipeline concepts, data analysis, visualization, AI, and machine learning.
Culture & Benefits
- Health, dental, vision, disability, life, and employee assistance benefits.
- Flexible spending account and generous time-off policies.
- Four to twelve weeks of fully paid parental leave based on tenure.
- Thirteen paid holidays and fifteen days of paid time off under the US benefits overview.
- Diverse and inclusive equal-opportunity workplace.
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