Machine Learning Engineer senior (H/F)

Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network.
This role is part of the AI Insights team, which owns the services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers. As a Senior Machine Learning Engineer , you will collaborate with data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry.
This is an applied machine learning position with a strong emphasis on engineering, not research. You will play a key role in advancing our ML Engineering capabilities, particularly in recommendation systems and information retrieval.
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.
Design and implement ranking and recommendation systems using techniques such as learn-to-rank (LTR) and collaborative filtering.
Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.
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.
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. 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:
Collaborative filtering and content-based filtering
Reranking strategies and hybrid search implementations
Solid understanding of machine learning techniques, including clustering and decision forests.

ML Engineering:
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
Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvement.
Develop AI applications powered by LLMs and agent-based systems
Evaluation & monitoring: LangSmith, Weights & Biases, TruLens, DeepEval, Azure AI, or equivalent tools
Experience with text-to-SQL (text2sql) generation or similar natural language to structured query tasks
Experience with packaging, CI/CD and pipeline automation.
Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference.
As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.
We make data-driven decisions and make the best decision for the moment based on the information available.
Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
Retirement Planning: We offer an RRSP plan to help you plan for your future.
Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.
Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. A reasonable estimate of the current range is $140,000 to $200,000 CAD . With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed.