Job Description:

Liveline intern will assist in the development in modern machine learning product offerings for advanced machine control.

• Set up Python environment and use advanced features in PyCharm interpreter


• Develop experience in Deep Learning including LSTM, RNN and CNN


• Develop experience in Reinforcement Learning including DQN, DDPG


• Run data cleansing pipelines and prepare processed data for model training


• Set up machine learning experiments and train, test and evaluate ML models for


• various manufacturing products


• Validate reinforcement learning models based on shadow run performance and


• generate run reports


• Fine-tune ML/RL hyperparameters for optimization

Cooper Standard is proud of its diverse workforce and committed to providing equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, genetic information, physical or mental disability, age, veteran or military status, or any other characteristic protected by applicable law. We are dedicated to creating an environment at work that not only values diversity but also encourages inclusion and a sense of belonging. We firmly believe that a diverse workplace fosters an environment where our employees can flourish and provide superior service to our customers.

Because we recognize and value the range of ways in which people acquire experiences, whether via personal, professional, education, or volunteerism, we invite interested applicants to evaluate the key duties and requirements and apply for any opportunities that fit your experience and qualifications.

Applicants with disabilities may be entitled to reasonable accommodations under the Americans with Disabilities Act, as well as certain state and/or local laws. If you believe you require such assistance to complete our online application or to participate in an interview, you (or someone on your behalf) may request assistance by emailing recruitment@cooperstandard.com with a description of the accommodation you seek. Application materials submitted to this email address will not be considered.

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