Machine Learning Engineer
- Toronto, ON, Canada
Pay Rate/Salary: $100/hr to $110/hr on Inc · Contract
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Job details
- Pay
- Pay Rate/Salary: $100/hr to $110/hr on Inc
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Pay Rate/Salary: $100/hr to $110/hr on Inc
Your New Role:
- We’re looking for a hands-on Machine Learning Engineer to develop and improve ML and deep learning models that power personalization across our retail ecosystem.
- This role focuses on model development using Python and PyTorch, with a strong emphasis on ownership, experimentation, and practical impact on experiences used by millions of Canadians daily.
What You’ll Do:
- The successful candidate will develop, train, evaluate, and improve ML and deep learning models.
- The role involves working across the ML lifecycle, including data analysis, feature preparation, experimentation, training, and evaluation.
- You will build PyTorch-based models for practical business use cases, analyze model performance and iterate based on clear metrics, and build reusable training, evaluation, and inference workflows.
- The position requires close collaboration with data, product, and engineering teams while documenting results, findings, and trade-offs clearly.
What We’re Looking For:
- Hands-on experience developing ML models
- Strong Python programming skills.
- Experience with PyTorch or similar deep learning frameworks.
- Good grasp of ML fundamentals: training, validation, evaluation, optimization, overfitting, and generalization.
- Experience gathering, cleaning, analyzing, and preparing data for ML.
- Good software engineering practices: clean code, version control, testing, and documentation.
- Strong ownership mindset and ability to drive work forward.
- Clear communication and collaboration skills.
- Especially Valuable
- Experience with personalized recommendations, search, ranking, or relevance systems.
- Experience with GCP, BigQuery, SQL, Spark, Dataflow, Airflow, Kubernetes, or cloud-based ML workflows.
- Experience supporting ML models in production.
How You’ll Succeed:
- You’ll join a collaborative, fast-paced team working on cutting-edge ML problems that directly impact how millions of Canadians shop. We offer competitive compensation, continuous learning opportunities, and the chance to work with the latest technologies in machine learning and AI.
- You will collaborate with highly skilled teams on impactful projects that touch the lives of millions of Canadians, thriving in an inclusive and supportive culture that celebrates diversity of thought and experience.
- By embracing our values of authenticity, trust, and connection, you’ll help drive innovation and shape the future of eCommerce.
What You'll Get in Return:
- You will have the opportunity to work with a talented team of professionals in a dynamic and supportive environment.
- Competitive compensation, continuous learning opportunities, and exposure to the latest technologies in machine learning and AI.
- You will collaborate with highly skilled teams on impactful projects while working in an inclusive and supportive culture that celebrates diversity of thought and experience.
What You Need to Do Now:
- If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
- If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
This posting is for an existing vacancy with the organization.
AI may be used to screen, assess or select applicants for the position.
More about this job
Responsibilities
Develop, train, evaluate, and improve machine learning and deep learning models for personalization, using Python and PyTorch. Build reusable training, evaluation, and inference workflows, analyze model performance, and collaborate with data, product, and engineering teams to document findings and trade-offs.
Requirements
Requires hands-on machine learning model development, strong Python skills, experience with PyTorch or a similar framework, and a solid understanding of machine learning fundamentals. Candidates should also have experience preparing data, follow good software engineering practices, take ownership, and communicate effectively; experience with recommendations, cloud workflows, or production models is especially valuable.
Skills
- Machine Learning
- Deep Learning
- Python
- PyTorch
- Model Training
- Model Evaluation
- Data Analysis
- Feature Preparation
- Experimentation
- Model Optimization
- Data Cleaning
- SQL
- BigQuery
- Spark
- Kubernetes
- Personalized Recommendations
Benefits
- Competitive Compensation
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Retail
Keywords
- Machine Learning
- Deep Learning
- Python
- PyTorch
- Personalization
- Recommendations
- Search
- Ranking
- Relevance Systems
- Model Training
- Model Evaluation
- Model Optimization
- Data Analysis
- Feature Preparation
- Experimentation
- Inference Workflows
- Production Machine Learning
- GCP
- BigQuery
- SQL
- Spark
- Dataflow
- Airflow
- Kubernetes
- Cloud-Based Machine Learning
- Version Control
- Testing
- Documentation
- eCommerce