Job Description
A Senior Machine Learning Engineer role focused on designing and deploying AI systems, particularly recommendation and ranking systems, to extract insights from large-scale structured and unstructured data within a relationship intelligence platform.
Key Responsibilities
- Own the full machine learning lifecycle from ideation to production, including feature engineering, model deployment, and evaluation.
- Translate business needs into robust machine learning system designs.
- Build recommendation and ranking systems using techniques such as learn-to-rank, collaborative filtering, and hybrid search.
- Work on information extraction, storage, and retrieval problems for structured and unstructured data.
- Collaborate with cross-functional teams to develop scalable data processing and ML operations systems.
Requirements
- 5 years of experience in software engineering and or Machine Learning experience in applying machine learning in production.
- Hands-on experience developing recommendation and ranking systems at scale, using techniques such as Learn-to-rank (LTR) algorithms, including RankNet, LambdaRank, or similar approaches.
- Experience with collaborative filtering and content-based filtering Reranking strategies and hybrid search implementations.
- Solid understanding of machine learning techniques, including clustering and decision forests.
- Experience with serving ML models for streaming and batch inference at scale.
- Experience with vector databases such as Milvus, Weaviate, or graph databases like Neo4j.
- Proficiency in Python and modern ML frameworks such as PyTorch, Scikit-learn, or similar.
- Track record of building maintainable, testable, and production-grade codebases.
- Experience with observability tools for online and offline model evaluation, including A/B testing and tracing for AI applications.
Benefits & Perks
Compensation/salary range: 140,000 to 200,000 CAD
Work schedule: Flexible personal sick days
Work environment perks: Virtual team-building activities and socials
Health Benefits: Extended health benefit premiums covered for employee and dependents
Retirement Planning: RRSP plan
Learning Development: Annual education budget and comprehensive L&D program
Wellness Support: Reimbursements for home internet, meals, wellness memberships, and equipment
Ready to Apply?
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