Machine Learning Engineer, Applied AI — New Graduate

Jobright Ai — Canada · Posted ~3 hours ago

Junior

Skills

machine learning search ranking recommendation systems training pipelines evaluation pipelines inference pipelines backend integration model optimization AI agents backend

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A new-graduate machine learning engineer is sought to build production AI capabilities spanning search, ranking, recommendations, matching, and personalization. The role involves developing training, evaluation, and inference pipelines, integrating models into backend systems, and improving latency, reliability, and cost.

Highlights

New-graduate opportunity to build production machine-learning systems for search, recommendations, matching, and personalized experiences, with high ownership and exposure to AI agents and product development.

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. Jobright.ai is looking for a New Grad Machine Learning Engineer to build production AI capabilities for search, recommendations, matching, and personalized job guidance. 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 • Implement ML-powered search, ranking, and recommendation features • Build training, evaluation, and inference pipelines • Integrate models and AI services into backend systems • Improve model latency, reliability, and cost • Create monitoring and evaluation workflows • Collaborate with data scientists, engineers, and product managers Qualification Required • Recent graduate in Computer Science, Machine Learning, Engineering, or a related field • Strong Python programming skills • Understanding of machine-learning algorithms and evaluation • Familiarity with APIs, Git, data pipelines, and software testing • Strong debugging and problem-solving skills Preferred • Experience with PyTorch, TensorFlow, or scikit-learn • Familiarity with NLP, search, ranking, or recommendations • Experience with Docker, cloud platforms, or MLOps • Interest in LLMs, embeddings, and retrieval systems