Machine Learning Engineer - New Graduate

Jobright Ai — United States · Posted ~1 hour ago

Junior

Skills

Machine learning Data pipelines Model evaluation Python NLP

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Summary ✨ AI‑Generated

A new graduate machine learning engineering role focused on developing AI models, data workflows, evaluation systems, and intelligent features for search and recommendation experiences.

Highlights

Great opportunity for new graduates to build AI systems, work on production machine learning applications, and gain ownership in an innovative environment.

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. As a Machine Learning Engineer, New Grad, you will contribute to model development, data pipelines, evaluation systems, and machine-learning features across search and recommendations. 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 • Develop and evaluate machine-learning models for search and recommendations • Prepare and analyze datasets for model training and evaluation • Build data and model evaluation pipelines • Experiment with ranking, classification, NLP, and personalization techniques • Monitor model quality and investigate performance issues • Collaborate with AI engineers, software engineers, data scientists, and product teams Qualification Required • Recent graduate or graduating soon in Machine Learning, Computer Science, Statistics, Mathematics, or a related field • Strong Python programming skills • Understanding of supervised learning, model evaluation, and statistics • Familiarity with NumPy, pandas, and scikit-learn or similar tools • Ability to work with data and communicate technical findings clearly • Ability to work remotely Preferred • Experience with PyTorch, TensorFlow, or deep learning • Familiarity with recommendation systems, search, ranking, or NLP • Experience with LLMs, embeddings, or retrieval systems • Knowledge of MLOps, model monitoring, or cloud platforms • Previous research, internship, or machine-learning project experience