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Entry-Level Machine Learning Engineer, Model Development

Jobright Ai — Canada · Posted ~2 hours ago

Junior

Skills

machine learning model training model evaluation dataset development feature pipelines experimentation model optimization Python AI agents data processing

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Summary ✨ AI‑Generated

An AI-focused technology organization is hiring an entry-level Machine Learning Engineer to develop, evaluate, and optimize models for a production AI platform. You will build reliable datasets and feature pipelines, design experiments, investigate model failures, and improve accuracy, latency, and resource efficiency. The role provides substantial ownership and exposure to AI agents and real-world machine learning deployment.

Highlights

Entry-level opportunity with high ownership, direct exposure to production AI systems, and hands-on work spanning model development, experimentation, data pipelines, and optimization.

Description

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