Machine Learning Engineer

About the role

Jobright is an AI-powered job search platform focused on helping people find and move through careers more quickly and with better guidance. This position is for a Machine Learning Engineer who will create, train, and deploy the models behind resume understanding, job matching, and career guidance features.

Why you’ll want to join

• You’ll work on models that influence real career outcomes for job seekers, rather than on benchmark-only problems.
• The role covers the complete machine learning lifecycle, including data preparation, model training, deployment, monitoring, and continuous improvement.
• You’ll collaborate with engineers and researchers who value model performance, system architecture, and fast delivery.
• The team has strong ML infrastructure in place, allowing you to focus more on modeling work and less on repetitive integration tasks.

Responsibilities

• Create, train, and launch machine learning models that support core product functions such as matching, ranking, and recommendations.
• Develop and support training pipelines, feature stores, and evaluation systems that enable quick experiments and reliable measurement.
• Work with product, engineering, and applied AI teams to turn unclear product needs into concrete modeling tasks and released features.
• Track model behavior in production, investigate performance drops, and use those insights to guide future improvements.

Qualifications

Required

• 1 to 3 years of experience in machine learning, data science, or a closely related technical area.
• Strong ability to communicate modeling decisions, tradeoffs, and outcomes to both technical and non-technical audiences.
• Good understanding of both classical machine learning and modern deep learning, including how to train, evaluate, and deploy models at scale.

Preferred

• Previous internship or professional experience in ML engineering, applied research, or data science within a tech or AI-oriented environment.
• Experience delivering production ML systems in fast-changing settings where data, priorities, and requirements evolve frequently.
• Practical knowledge of Python, PyTorch or TensorFlow, distributed training and inference, MLOps tools, and SQL-based data platforms.

Eligibility

Applicants should be early-career professionals with 1 to 3 years of relevant experience in machine learning or a related technical field.

Additional information

This opportunity is based in Canada and is offered as a full-time onsite position.