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Jobright.ai

Machine Learning Engineer Intern

Canada

Job type: Internship
Posting language: English
Posted: Sep 27, 2026

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Original job description

Jobright is a personal AI job search agent that simplifies the job search process and helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model quality and reliability, and improve ML development workflows.

Why Join Us

Build real, production AI agents used by real users

High ownership and impact

Work at the intersection of AI, agents, and product

Shape how people experience AI-driven job search

Responsibilities

Prepare datasets and build reproducible machine-learning experiments

Train, evaluate, and compare models using appropriate metrics

Support data pipelines and integrations for ML-powered product features

Investigate model errors, bias, latency, and reliability

Document experiments and communicate technical findings

Contribute tests and tooling that improve ML development workflows

Qualification

Required

Currently pursuing a degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field

Strong Python programming skills

Understanding of machine-learning fundamentals and model evaluation

Familiarity with data structures, software development, and version control

Ability to work independently in a remote environment

Preferred

Experience with PyTorch, TensorFlow, scikit-learn, or similar frameworks

Coursework or projects involving NLP, recommendation systems, search, or ranking

Familiarity with SQL, cloud services, APIs, or data pipelines

Apply About employer

More about this job

Responsibilities

Prepare datasets and run reproducible experiments to train, evaluate, and compare machine-learning models. Support ML product data pipelines and integrations, investigate model quality and reliability, document findings, and improve development workflows with tests and tooling.

Requirements

Applicants must be pursuing a degree in computer science, machine learning, artificial intelligence, data science, or a related field, and have strong Python skills and an understanding of machine-learning fundamentals and model evaluation. Familiarity with data structures, software development, and version control is required; experience with ML frameworks, NLP, recommendation systems, search, ranking, SQL, cloud services, APIs, or data pipelines is preferred.

Skills

Python
Machine Learning
Model Evaluation
Data Preparation
Machine-Learning Experiments
Data Pipelines
Model Reliability
Bias Analysis
Latency Analysis
Version Control
Data Structures
PyTorch
TensorFlow
Scikit-Learn
Natural Language Processing
Recommendation Systems

Visa sponsorship

Not detected in the job text

Keywords

Python
Machine Learning
Artificial Intelligence
Data Science
Machine-Learning Experiments
Dataset Preparation
Model Training
Model Evaluation
Model Comparison
Evaluation Metrics
Data Pipelines
Data Integrations
Model Quality
Model Reliability
Bias
Latency
Reproducibility
Version Control
Data Structures
Software Development
PyTorch
TensorFlow
Scikit-Learn
Natural Language Processing
Recommendation Systems
Search
Ranking
SQL
Cloud Services
APIs

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