3 days ago
Vancouver, CanadaSenior
Responsibilities
- Design, develop, and deploy scalable machine learning models and AI systems, including predictive models, generative AI, and LLM-powered agents.
- Own the ML lifecycle from data extraction and feature engineering through model training, deployment, optimization, and continuous monitoring.
- Collaborate with data scientists, software engineers, product managers, and UX designers to develop AI solutions for business problems.
- Establish engineering best practices, robust MLOps processes, and highly optimized code.
- Mentor junior engineers, conduct code and architecture reviews, and contribute to the team's technical roadmap.
- Ensure models meet standards for data privacy, security, fairness, and ethical AI.
Requirements
- 7+ years of industry software engineering experience focused on applied machine learning, deep learning, or NLP.
- Expert-level Python proficiency and strong fundamentals in data structures, algorithms, and object-oriented design.
- Deep hands-on experience with PyTorch, TensorFlow, Scikit-learn, or Hugging Face.
- Demonstrated experience deploying ML models from research or notebook environments into scalable, high-traffic production systems.
- Experience with AWS or GCP and infrastructure tools such as Docker and Kubernetes.
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related highly quantitative field, or equivalent practical experience.
Benefits
- Annualized base salary of $156,000-$234,000 CAD for the primary Vancouver, Canada location, with the same range listed for additional Canadian locations.
- Potential eligibility for the Workday Bonus Plan or role-specific bonus and annual refresh stock grants.
- Flexible work arrangement requiring at least 50% of time each quarter in the office or in the field, with remote home-office options also available.
- Equal opportunity employer with reasonable accommodations and comprehensive benefits information available through Workday.
Tech Stack
Categories
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.