Machine Learning Engineer

Studdy Lab; Vancouver; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Work permit fees covered

Immigration legal fees covered

Health insurance

Company hostel accommodation in Canada

Daily transport between hostel and the

Free Studdy subscription for your 가족

Job summary

Studdy Lab is seeking a machine learning engineer to train, evaluate and deploy models powering personalized learning experiences. The role is based in Vancouver or Toronto, with visa support for selected candidates.

You will build and evaluate ML models for personalization and quality, own data pipelines for training and evaluation, deploy and monitor models in production, and collaborate with AI engineers and product teams on new features.

Qualifications

• Excellent English communication, spoken and written.
• Basic French: an A2 French certificate is required before your visa application.
• 3+ years in machine learning engineering
• Strong Python and ML frameworks (PyTorch or similar)
• Experience deploying models to production

Responsibilities

• Build and evaluate ML models for personalisation and quality
• Own data pipelines for training and evaluation
• Deploy and monitor models in production
• Work with AI engineers and product on new features

Skills

Python

English proficiency

French (A2)

Model deployment

ML engineering

Tools

PyTorch

Job description

Train, evaluate and deploy the models behind Studdy's learning experience, from personalisation to content quality. Based in Vancouver or Toronto. Candidates in India are welcome to apply: Studdy supports the work permit process for selected candidates.

Your models decide what each learner sees next.

Requirements:

• Excellent English communication, spoken and written.
• Basic French: an A2 French certificate is required before your visa application. You can learn it after you are selected, with any provider you choose.
• 3+ years in machine learning engineering
• Strong Python and ML frameworks (PyTorch or similar)
• Experience deploying models to production

Responsibilities:

• Build and evaluate ML models for personalisation and quality
• Own data pipelines for training and evaluation
• Deploy and monitor models in production
• Work with AI engineers and product on new features

Benefits:

• Work permit and visa processing fees paid by the employer
• Immigration lawyer and employer-side government fees paid by the employer
• Health insurance
• Company hostel accommodation in Canada, with one meal a day
• Daily transport between the hostel and the office
• Free Studdy subscription for your family
• Studdy never charges candidates any fee.