Corvallis, OR · On-site
$31K - $36K/yr
... Learning Assistants (ULAs) positions for ENG 310 courses at Oregon State University (OSU) in the College of Engineering (CoE). Position Duties: * Complete trainings * Supporting Transfer students
Corvallis, OR · On-site
$31K - $36K/yr
... Learning Assistants (ULAs) positions for ENG 310 courses at Oregon State University (OSU) in the College of Engineering (CoE). Position Duties: * Complete trainings * Supporting Transfer students
... Learning Assistant positions for the School of Electrical Engineering and Computer Science (EECS) at Oregon State University (OSU). This position preforms a wide variety of work that supports the ...
... Learning Assistant positions for the School of Electrical Engineering and Computer Science (EECS) at Oregon State University (OSU). This position preforms a wide variety of work that supports the ...
Corvallis, OR · On-site
$15.50/hr
Perform tasks to assist other technicians and engineers following instructions. * Understand the ... Learning opportunities around each corner. Our People are Our Pride - Benefits and Perk * Expected ...
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Corvallis, OR · On-site
$15.50/hr
Perform tasks to assist other technicians and engineers following instructions. * Understand the ... Learning opportunities around each corner. Our People are Our Pride - Benefits and Perk * Expected ...
Toledo, OR · On-site
This role offers continual learning and development, empowering you to build knowledge and innovate ... S.) in Engineering, Construction Management, or related Program. • Extensive knowledge of ...
Toledo, OR · On-site
This role offers continual learning and development, empowering you to build knowledge and innovate ... S.) in Engineering, Construction Management, or related Program. • Extensive knowledge of ...
$26.4K - $32.3K
5% of jobs
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A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.
Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.
To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.
The top searched job categories for Machine Learning Engineer Intern jobs in Corvallis, OR are:
$31K - $36K/yr
Part-time
Re-posted 13 days ago
Complete trainings, support transfer students, hold office hours, grade assignments, assist in lab sessions, lead study sessions, tutor students, attend weekly meetings, copy course materials, enter scores into Canvas, and mentor students.
Support course activities and student learning through various instructional and administrative tasks as directed by the supervising instructor.
Participate in training and perform other tasks as needed to support the course and student success.
When applying you will be required to attach the following electronic documents:
A Resume
A Cover Letter
For additional information please contact: Paula deSzoeke at paula.deszoeke@oregonstate.edu
We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status.
Job Description:This recruitment will be used to fill 6 part-time (a maximum of 24 hours per week) Undergraduate Learning Assistants (ULAs) positions for ENG 310 courses at Oregon State University (OSU) in the College of Engineering (CoE).
Position Duties:
Complete trainings
Supporting Transfer students
Holding office hours
Grading
Assisting in 30-person lab sessions
Leading study sessions
Tutoring
Attending weekly meetings
Copying materials for the course
Entering scores into Canvas
Mentoring and supporting other students
Other tasks as needed by the supervising Instructor
Transferable Skill Development
OSU is committed to ensuring students are prepared for success after graduation through intentional skill development as student employees. The competencies students develop while working at OSU are defined by the National Association of Colleges and Employers (NACE) as the essential skills employers seek in their hires. In this position, students learn and build vital career-readiness skills in the primary areas below:
Communication, Teamwork, Professionalism, Equity & Inclusion
Minimum:
Full Employment Eligibility Requirements can be found here:https://hr.oregonstate.edu/student-employment-manual/500-employment-eligibility-requirements
Must be academically enrolled in a high school, community college, or university and pursuing a program or course of study
Must meet Academic Standing Requirements; students on academic suspension are not eligible for employment
Must meet the applicable minimal enrollment standard
High School student: Regularly enrolled in a high school or participating in a home-schooling program
Undergraduate and post-baccalaureate student: 6 credit hours per term
Undergraduate international student: 12 credit hours per term*
Graduate student officially admitted to Graduate School: 5 credit hours per term
Graduate international student officially admitted to Graduate School: 9 credit hours per term*
*International students may be allowed to carry fewer hours than specified above and still be considered "full-time" by the United States Citizenship and Immigration Services (USCIS). A reduced course load is approved by theOffice of International Services(OIS), and must be provided to the Student Employment Center.
Required:
Engaging background.
Depending on the course, successful completion may require support from the course.
Student in good standing, including maintaining a strong academic integrity record within CoE.
