Senior Software Developer, AI Infrastructure
Unity
AzureCloudGoogle Cloud PlatformGrafanaKubernetesTerraform
Senior Machine Learning Engineer, AI Insights
Affinity.co
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteSalary
💰 CA$113,000 - CA$200,000 per year
Job Level
Senior
Tech Stack
Neo4jPythonPyTorchScikit-Learn
About the role
- Own the full ML lifecycle: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.
- Translate business needs into ML solutions: Gather product requirements and translate them into robust ML system design requirements.
- Build sophisticated recommendation and ranking systems: Design and implement ranking and recommendation systems using techniques such as learn-to-rank (LTR) and collaborative filtering.
- Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.
- Collaborate cross-functionally: Partner with cross-functional teams (product management, infrastructure, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations.
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, collaborative filtering, reranking strategies and hybrid search implementations, information retrieval and relevance scoring.
- Solid understanding of machine learning techniques, including clustering and decision forests.
- Experiences with serving ML models for streaming and batch inference at scale.
- Experience with vector databases (milvus, weaviate) or graph database (Neo4j).
- Proficiency in Python and modern ML frameworks (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, A/B testing, and tracing for AI applications.
Benefits
- We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
- We offer an RRSP plan to help you plan for your future.
- We provide an annual education budget and a comprehensive L&D program.
- We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
- Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningrecommendation systemsranking systemslearn-to-rankcollaborative filteringinformation retrievalclusteringdecision forestsPythonproduction-grade code
Soft skills
problem solvingcollaborationcross-functional teamwork
