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Machine Learning Engineer Summer (STAR) Intern

🚀 Summer Internship


⌛ Closed
Applications are closed

Summer Internship



  • This position will collaborate with Data Engineers and Data Scientists to assist in building data and model pipelines and help run machine learning tests and experiments and assist in managing the infrastructure and data pipelines needed to bring ML solutions to production. You will also be assisting with Big Data Projects using multiple types of structured and unstructured data. During your internship, you will learn about the whole life cycle of model building for solving real-world complex problems. 


  • To qualify for this internship opportunity, you must be a rising junior, senior enrolled in a Bachelor's program.
  • Preferred concentration of study: Computer Science, Engineering, Mathematics, Statistics, or related field with a focus on Machine Learning and Deep Learning
  • Qualifications:
  • Proficiency in machine learning model development, with a focus on model deployment and serving in real-world applications.
  • Experience in containerization technologies like Docker and deployment to cloud platforms (e.g., AWS, Azure, GCP).
  • Strong coding skills in Python and the ability to integrate machine learning models into production systems.
  • Understanding of monitoring and maintaining deployed models, ensuring scalability, reliability, and performance in production environments.
  • Familiarity with cloud ecosystem (Azure Cloud, Hive, Spark, Kafka)
  • Familiarity with modern software development practices (Git, JIRA, CI/CD methods, MLOps)
  • An analytical mind and inclination for problem-solving
  • Strong verbal and written communication skills

Education requirements

Currently Studying

Area of Responsibilities



  • Develop the CDP strategic milestones & manage the team responsible in successfully delivering to the operational targets defined.
  • Deliver dealer data driven business models to integrate the CDP use cases
  • Enlist and foster a comprehensive and a highly collaborative working relationship between IT teams and the business partners to understand project dependencies and the bigger picture.
  • Engage with cross-functional support teams (Legal, Marketing, Digital House…) to ensure alignment of activities.
  • Facilitate the support of the internal & external stakeholders that require data integration through a consolidated MBUSA dealer data governance strategy.
  • Support the project/use cases planning, allocation to meet financial needs for the CDP Products and evaluate future CDP personalization opportunities.


Work type

Full time

Work mode