Machine Learning Engineer, Applied AI — New Grad
Implement ML-powered search, ranking, and recommendation features while building training and inference pipelines. Integrate AI services into backend systems and optimize model latency, reliability, and cost.
- On-site
- Canada
- Posted Aug 6, 2026
- 1 position
Job summary
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
What you’ll do
Implement ML-powered search, ranking, and recommendation features while building training and inference pipelines. Integrate AI services into backend systems and optimize model latency, reliability, and cost.
Requirements
Requires a recent graduate in Computer Science, Machine Learning, or a related field with strong Python and debugging skills. Familiarity with ML algorithms, APIs, and data pipelines is essential.
Listed skills
- DockerPreferred
- Machine learningPreferred
- GitPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- Machine Learning
- PyTorch
- TensorFlow
- Scikit-learn
- NLP
- Search Ranking
- Recommendation Systems
- Docker
- MLOps
- LLMs
- Embeddings
- Retrieval Systems
- Git
- Data Pipelines
- Software Testing
Job areas
- Technology
- Software
- Engineering
- Data & Analytics
- Science & Research
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 0+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level