Machine Learning Engineer, Model Development — Entry Level
The role involves training, evaluating, and optimizing machine learning models to enhance an AI-driven job search experience. Key tasks include building feature pipelines, designing experiments, and partnering with engineers for model deployment.
- On-site
- Canada
- Posted Aug 16, 2026
- 1 position
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Job summary
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 • Strong 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
What you’ll do
The role involves training, evaluating, and optimizing machine learning models to enhance an AI-driven job search experience. Key tasks include building feature pipelines, designing experiments, and partnering with engineers for model deployment.
Requirements
Candidates must have a degree in Machine Learning, Computer Science, or Statistics with strong Python and ML framework skills. Experience with deep learning, NLP, and model monitoring is preferred.
Listed skills
- Machine learningPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- Machine Learning
- Supervised Learning
- NumPy
- Pandas
- PyTorch
- TensorFlow
- Deep Learning
- NLP
- Ranking Systems
- Recommendation Systems
- Model Deployment
- Model Monitoring
- Analytical Skills
- Debugging
Job areas
- Software
- Technology
- Engineering
- Data & Analytics
- Science & Research
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 0+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level
