Job Description
A Senior Machine Learning Engineer at Affinity is responsible for designing, developing, and deploying AI systems, particularly recommendation and ranking models, to extract insights from large-scale structured and unstructured data, supporting the company's relationship intelligence platform.
Key Responsibilities
- Own the full machine learning lifecycle from ideation to production, including feature engineering, model deployment, and evaluation.
- Design and build recommendation and ranking systems using techniques such as learn-to-rank, collaborative filtering, and content-based filtering.
- Translate business needs into robust machine learning system requirements and solutions.
- Work on information extraction, storage, and retrieval problems for structured and unstructured data.
- Collaborate with cross-functional teams to develop scalable, high-quality data processing and ML operations systems.
Requirements
- At least 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 techniques.
- Experience with reranking strategies and hybrid search implementations.
- Solid understanding of information retrieval and relevance scoring.
- Strong knowledge 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
Health benefits covering both employee and dependents, including extended health benefit premiums and flexible personal sick days
Retirement plan (RRSP) to help plan for the future
Annual education budget and comprehensive learning and development program
Wellness support with monthly reimbursements for home internet, meals, and wellness memberships
Virtual team-building activities and socials to foster team connection
Salary range of approximately 150,000 to 200,000 CAD, dependent on experience and location
Ready to Apply?
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