Internship projects vary from year to year and are based on current business needs at the time of the internship. Specific details will be provided prior to your start date, but all projects are technical and require a sound understanding of engineering principles.
AI/ML Interns will be focused on building the Data pipelines and RAG applications to support the organization’s Artificial Intelligence/Machine Learning Roadmap. This role requires good understanding of coding techniques in Python, SQL and Cloud technologies.
Key Responsibilities:
Assist in design and implementing AI/ML models using Python.Support the development and testing of Retrieval Augmented Generation (RAG) pipelines.Help Integrate AI solutions with Microsoft Azure.Research and provide multiple path of solutions.Successful Candidates will Demonstrate:
Proficiency in Python with exposure to ML/AI librariesFamiliarity with Machine Learning and AI conceptsStrong problem-solving skills and willingness to learnRequired Qualifications:
Currently pursuing a Master’s (or Bachelor’s with relevant experience) in Computer Science, Data Science, or related fieldU.S. citizen or U.S. permanent resident is NOT required for this position, however proper work authorizations will be required.At Sensata, our employees are the key to our success and growth. In addition to the competitive hourly rates offered, all interns receive a sign-on bonus.
Interns at Sensata Technologies are eligible to participate in benefits including paid holidays, sick time, and medical insurance.
Engineering/IT Intern Hourly Rates
Sophomore Graduating 2029: $25.00Junior Graduating 2028: $27.00Senior Graduating 2027: $29.00Graduate Students: $32.00SmarterTogetherCollaborating at Sensata means working with some of the world’s most talented people in an enriching environment that is constantly pushing towards the next best thing
Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication
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NOTE: If you are a current Sensata employee (or one of our Affiliates), please back out of this application and log into Workday via the Company Intranet to apply directly. Type "FIND JOBS" in the Workday search bar.