Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. The Entry-Level Machine Learning Engineer will develop, evaluate, and optimize models that enhance our AI-driven job search experience, working with datasets and training 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

- Train and evaluate machine-learning models
- Build reliable datasets and feature pipelines
- Design experiments and compare modeling approaches
- Optimize model accuracy, latency, and resource usage




- Investigate errors and model failure patterns
- Partner with engineers to deploy and monitor models

Qualification

Required

- Bachelor's or master's degree in Machine Learning, Computer Science, Statistics, or a related field
- Robust Python programming skills
- Understanding of supervised learning, optimization, and evaluation
- Familiarity with NumPy, pandas, and ML frameworks
- Strong analytical and debugging skills

Preferred

- Experience with PyTorch, TensorFlow, or deep learning
- Familiarity with model deployment and monitoring
- Experience with NLP, ranking, or recommendation systems
- Previous research, internship, or machine-learning project

📌 Machine Learning Engineer, Model Development — Entry Level (Canada)
🏢 Jobright.ai
📍 Canada