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Jobright.ai · United States

Machine Learning Engineer, Model Development — Entry Level

entry_levelfull timePosted today
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machine-learningagentic-aistatisticspythonnumpypandaspytorchtensorflowdeep-learningnlprecommender-systems

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

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