ML ENGINEER II

The role is a strong fit for someone with a solid software and analytical foundation who is eager to apply machine learning techniques to real engineering problems. The engineer will work closely with experienced engineers, data scientists, and cross-functional teams to develop models, improve workflows, and support the integration of ML capabilities into our tools and processes.

Requirements

• Bachelor's with 4+ years, Master's with 3 years, or PhD with 1 years of experience in Computer Science, Data Science, Software Engineering, Electrical Engineering, or a related technical discipline.
• Programming experience in R or Python
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit learn
• Experience working with data analysis libraries such as pandas or NumPy
• Familiarity with data pipelines, model evaluation, and machine learning experimentation
• Knowledge of software development practices, including version control and testing
• Strong analytical thinking and problem-solving skills
• Ability to collaborate effectively in cross-functional engineering teams
• Clear communicator who works well in a collaborative team environment.
• Self-motivated and eager to learn new technologies with guidance.
• Ability to travel occasionally, up to 10 percent, for team meetings or training as needed.

Benefits

• Company match on TE Connectivity 401(k) retirement savings plan
• Life and disability insurance
• Employee stock purchase plan
• Paid vacation, holidays, and sick time