Machine Learning Engineer, Applied AI — New Grad
Offre en anglaisThe role involves implementing ML-powered search, ranking, and recommendation features for a job search agent. Responsibilities include building training and inference pipelines and integrating AI services into backend systems.
- Sur place
- Canada
- Publié 6 août 2026
- 1 poste
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. 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
Ce que vous ferez
The role involves implementing ML-powered search, ranking, and recommendation features for a job search agent. Responsibilities include building training and inference pipelines and integrating AI services into backend systems.
Exigences
Candidates must be recent graduates in Computer Science or a related field with strong Python and ML algorithm knowledge. Experience with PyTorch, TensorFlow, and NLP is preferred.
Compétences indiquées
- DockerSouhaitée
- GitSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- Machine Learning Algorithms
- APIs
- Git
- Data Pipelines
- Software Testing
- PyTorch
- TensorFlow
- Scikit-learn
- NLP
- Search and Ranking
- Recommendations
- Docker
- Cloud Platforms
- MLOps
- LLMs
Domaines d’emploi
- Technology
- Software
- 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