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Internship - Product Management (Computer Vision Integration Into Data Pipelines)

🚀 Off-cycle Internship


AI generated summary

  • You must be knowledgeable in data engineering, machine learning, and data science, proficient in Python, have computer vision expertise, and strong collaboration skills. Flexibility with new technologies is key.
  • You will define use cases, research advancements, evaluate models, write user stories, collaborate with UX experts, and develop prototypes for integrating computer vision into data pipelines.

Off-cycle Internship

Product, DataWaltham


  • Join our Scientific Informatics product management team to explore the integration of computer vision technologies within scientific data pipelines. As an Intern, you will collaborate with our team to benchmark the competition, and to define, prototype, and prioritize product features.


  • Knowledgeable in data engineering, machine learning, and data science
  • Proficiency in Python programming
  • Knowledgeable in computer vision technologies (image preprocessing, model training and inference, etc.)
  • Familiarity with scientific workflows (such as laboratory, research, clinical)
  • Familiarity with OpenCV, YOLO and TensorFlow is a plus
  • Strong collaboration and communication skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders
  • Excellent problem-solving abilities and analytical thinking skills
  • Eagerness to learn and adapt to new technologies and methodologies.

Education requirements

Currently Studying

Area of Responsibilities



  • Your role involves:
  • Define practical use cases for computer vision in scientific data management
  • Conduct thorough research on current advancements in computer vision
  • Identify and evaluate relevant foundation models for application integration
  • Contribute to product strategy by writing user stories to guide the implementation of new, innovative capabilities
  • Work closely with UX experts to build user experiences that delight our customers
  • Develop prototypes for web applications.


Work type

Full time

Work mode