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 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
About Jobright.ai
Jobright is the first AI-native hiring platform that connects top talent with great employers faster than ever before.
𝐉𝐨𝐛 𝐬𝐞𝐞𝐤𝐞𝐫𝐬: Your AI job search agent that turns a solo, time-consuming hunt into a fast, expert-guided path to landing your ideal job.
𝐄𝐦𝐩𝐥𝐨𝐲𝐞𝐫𝐬: Your AI recruiting partner that delivers only active, qualified candidates with speed and precision.
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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 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
About Jobright.ai
Jobright is the first AI-native hiring platform that connects top talent with great employers faster than ever before.
𝐉𝐨𝐛 𝐬𝐞𝐞𝐤𝐞𝐫𝐬: Your AI job search agent that turns a solo, time-consuming hunt into a fast, expert-guided path to landing your ideal job.
𝐄𝐦𝐩𝐥𝐨𝐲𝐞𝐫𝐬: Your AI recruiting partner that delivers only active, qualified candidates with speed and precision.