Job summary
Job post source
This job is directly from CTEH
Job overview
The Research and Development Intern at CTEH supports machine learning, computer vision, and robotics R&D initiatives, contributing to environmental response and industrial automation projects.
Responsibilities and impact
The intern will develop and test ML models, assist in computer vision and robotics projects, contribute to data tasks, prototype R&D solutions, conduct research, document findings, and collaborate with teams.
Compensation and benefits
The position is temporary/part-time with a salary range of $16-$20 per hour based on experience.
Experience and skills
Candidates should be enrolled in a relevant technical undergraduate or graduate program with coursework or projects in ML, computer vision, or robotics preferred, and possess strong problem-solving, communication, and computer skills.
Work environment and culture
The work environment includes office settings and occasional outdoor work with exposure to varied weather and physical conditions, emphasizing professionalism and multitasking.
Team overview
The intern works closely with the Director of R&D and cross-functional teams to integrate R&D solutions.
Unique job features
The role offers hands-on experience with cutting-edge technologies in environmental and industrial automation R&D.
Company overview
CTEH (Center for Toxicology and Environmental Health) is a scientific consulting firm specializing in environmental health, toxicology, industrial hygiene, and emergency response. They generate revenue by providing expert services to industries, government agencies, and communities, particularly in managing and mitigating the impacts of chemical, biological, radiological, and natural disasters. Founded in 1997, CTEH has a history of responding to significant environmental incidents, offering rapid, data-driven solutions to protect public health and the environment.
How to land this job
Position your resume to highlight coursework and project experience related to machine learning, computer vision, and robotics, as these are central to the R&D Intern role at CTEH.
Emphasize hands-on skills in developing and testing ML models, sensor integration, path planning, and autonomous systems, along with data collection and annotation experience.
Apply through multiple channels including CTEH's official corporate careers page and LinkedIn to maximize your chances of being noticed for this internship.
Connect on LinkedIn with members of CTEH's R&D team or the Director of R&D, using ice breakers such as commenting on recent environmental tech innovations at CTEH or asking about their experience working on robotics projects for environmental applications.
Optimize your resume for ATS by incorporating keywords from the job description like 'machine learning models,' 'computer vision solutions,' 'robotics projects,' 'sensor integration,' and 'data annotation' to pass automated screenings.
Consider using Jennie Johnson's Power Apply feature to automate applying through multiple platforms, tailor your resume for ATS, and identify relevant LinkedIn contacts, freeing you to focus on preparing for interviews and skill development.
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