Messagepoint

Artificial Intelligence/Machine Learning Research Intern – 8-month position

Messagepoint

internship

Posted on:

Location Type: Remote

Location: Canada

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Job Level

Entry Level

Tech Stack

JavaPythonPyTorchSparkTensorflow

About the role

  • Collaborate with the AI team to enhance MARCIE’s features, addressing Content Intelligence needs within Messagepoint’s CCM platform.
  • Apply Generative AI models and deep learning techniques to: Natural Language Processing (e.g., text generation, entity recognition, sentiment analysis).
  • Document understanding (e.g., information extraction, classification, summarization).
  • Image and object detection, semantic segmentation, and visual content analysis.
  • Context-aware communication generation and optimization.
  • Conduct research and experimentation to explore innovative AI solutions in CCM-specific scenarios.
  • Design, implement, and evaluate machine learning models, ensuring scalability and performance.
  • Leverage distributed computing frameworks such as Spark for handling large datasets efficiently.
  • Collaborate with cross-functional teams to integrate AI solutions into real-world applications.
  • Document and present findings, prototypes, and results to stakeholders.

Requirements

  • Currently enrolled in a degree program (undergraduate or graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Proficient programming skills in Python and/or Java.
  • Solid understanding of deep learning frameworks such as PyTorch or TensorFlow.
  • Exposure to Generative AI models (e.g., GPT, Stable Diffusion, or similar architectures).
  • Familiarity with distributed computing and storage frameworks such as Spark.
  • Experience or knowledge of applied AI techniques for solving real-world problems.
  • Strong analytical, problem-solving, and communication skills.
  • Self-motivated, eager to learn, and able to work collaboratively in a team environment.
  • Experience with natural language processing libraries such as Hugging Face Transformers, spaCy, or NLTK.
  • Familiarity with computer vision frameworks like OpenCV or Detectron2.
  • Knowledge of optimization techniques for scalable AI model deployment.
  • Understanding of CCM platforms or content intelligence use cases.
Benefits
  • Hands-on experience working on a cutting-edge AI platform with real-world impact.
  • Mentorship from industry-leading AI professionals.
  • A collaborative and innovative work environment.
  • Opportunities to present your work and gain visibility.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavadeep learningNatural Language ProcessingGenerative AImachine learningimage detectionsemantic segmentationHugging Face TransformersOpenCV
Soft Skills
analytical skillsproblem-solvingcommunication skillsself-motivatedteam collaboration