Machine Learning Engineer, Model Development — Entry Level

About the role

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

Requirements

• 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 Qualifications

• 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