Retour à la recherche
J
Jobright.aiSource d’offres vérifiée

Machine Learning Engineer, Model Development — Entry Level

Offre en anglais

The role involves training, evaluating, and optimizing machine learning models to enhance an AI-driven job search experience. Key tasks include building feature pipelines, designing experiments, and partnering with engineers for model deployment.

  • Sur place
  • Publié 16 août 2026
  • 1 poste

D’autres postes auxquels postuler directement

Des possibilités semblables publiées par des employeurs qui recrutent sur Jobs.ca, sans formulaire externe.

Résumé du poste

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

Ce que vous ferez

The role involves training, evaluating, and optimizing machine learning models to enhance an AI-driven job search experience. Key tasks include building feature pipelines, designing experiments, and partnering with engineers for model deployment.

Exigences

Candidates must have a degree in Machine Learning, Computer Science, or Statistics with strong Python and ML framework skills. Experience with deep learning, NLP, and model monitoring is preferred.

Compétences indiquées

  • Apprentissage automatiqueSouhaitée
  • PythonSouhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Python
  • Machine Learning
  • Supervised Learning
  • NumPy
  • Pandas
  • PyTorch
  • TensorFlow
  • Deep Learning
  • NLP
  • Ranking Systems
  • Recommendation Systems
  • Model Deployment
  • Model Monitoring
  • Analytical Skills
  • Debugging

Domaines d’emploi

  • Software
  • Technology
  • Engineering
  • Data & Analytics
  • Science & Research

Renseignements supplémentaires

Formation minimale
Baccalauréat
Expérience minimale
0+ ans
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Niveau d’expérience
Entry level