Machine Learning Engineer Intern
- Canada
Internship
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Job details
- Job type
- Internship
- Posting language
- English
- Posted
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
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, relevant coursework or projects, 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
- Software Development
- Version Control
- PyTorch
- TensorFlow
- Scikit-Learn
- Natural Language Processing
- Recommendation Systems
- SQL
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Science & Research
Keywords
- Machine Learning
- Artificial Intelligence
- Python
- Data Science
- Dataset Preparation
- Reproducible Experiments
- Model Training
- Model Evaluation
- Model Metrics
- Data Pipelines
- Product Integrations
- Model Quality
- Model Bias
- Latency
- Reliability
- PyTorch
- TensorFlow
- Scikit-Learn
- Natural Language Processing
- Recommendation Systems
- Search
- Ranking
- SQL
- Cloud Services
- APIs
- Data Structures
- Software Development
- Version Control
- Testing
- Remote Work