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AI Engineering Engineer Intern

The Standard

Salary not specified
Jun 10, 2025
Remote, US
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The Standard is a family of companies dedicated to helping its customers achieve financial well-being and peace of mind. In business since 1906, we’re a leading provider of group and individual disability insurance, group life, dental and vision insurance, voluntary (employee-paid) benefits, absence management services, and retirement plans and ann.

Responsibilities

  • Collaborate with the AI Engineering team to design, develop, and implement software solutions that support AI applications.
  • Assist in the development and optimization of machine learning models and algorithms.
  • Participate in code reviews, testing, and debugging to ensure high-quality software delivery.
  • Contribute to the documentation of software designs, code, and processes.
  • Work on integrating AI models into production systems and applications.
  • Support the team in researching and experimenting with new AI technologies and methodologies.
  • Assist in the deployment and maintenance of AI systems and infrastructure.

Requirements

  • Strong programming skills in languages such as Python, Java, or C++.
  • Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Understanding of software development principles, algorithms, and data structures.

Other

  • Currently pursuing a Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills and the ability to articulate technical concepts clearly.
  • Experience with AI and machine learning projects, either through coursework or personal projects.
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with version control systems (e.g., Github) and collaborative development workflows.
  • Understanding of data preprocessing, feature engineering, and model evaluation techniques.
  • Enthusiasm for learning and staying updated with the latest advancements in AI and software engineering.