Senior AI, Machine Learning Engineer

🔥 27 minutes ago

🇨🇦 Canada – Remote

💵 $110k / year

⏳ Contract/Temporary

🟠 Senior

🤖 Machine Learning Engineer

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Tie

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

📣 Marketing

🛍️ eCommerce

☁️ SaaS

💰 $10M Series A on 2025-09

Marketing • eCommerce • SaaS

Tie is a marketing platform for e-commerce brands that helps recognize anonymous shoppers and build complete shopper profiles using cookieless identity and intent signals. Its products include Tie ID (cookieless identity), Tie Predict (daily intent scores), and Tie Priority (inbox placement), and it integrates with tools like Klaviyo, Attentive, and Meta. Tie positions itself to capture invisible intent, optimize engagement and deliver messages at the right time to land in customers' primary inboxes, offering ad credit and flexible ad terms for advertising campaigns.

📋 Description

• Design and deploy production-grade ML models for identity resolution, propensity scoring, deliverability, and personalization • Build and maintain feature pipelines across batch and real-time systems, including BigQuery, streaming events, and graph-derived features • Develop and optimize classification models such as XGBoost and logistic regression, handling class imbalance and noisy labels • Integrate ML models directly with graph databases to support real-time inference and identity scoring • Own model lifecycle activities including evaluation, monitoring, drift detection, retraining, and performance reporting • Partner with engineering to expose models via low-latency APIs and scalable services • Contribute to GPU-accelerated and large-scale data processing efforts • Help shape ML best practices, tooling, and standards across the team

🎯 Requirements

• 5+ years of experience building and deploying machine learning systems in production • Strong proficiency in Python for ML, data processing, and model serving • Hands-on experience with feature engineering, model training, and evaluation for real-world datasets • Experience deploying ML models via APIs or services, such as FastAPI, containers, or Kubernetes • Solid understanding of data modeling, SQL, and analytical workflows • Experience working in a cloud environment, such as GCP, AWS, or equivalent • Preferred: Experience with graph data, graph databases, or graph-based ML • Preferred: Familiarity with Neo4j, Cypher, or graph algorithms • Preferred: Experience with XGBoost, tree-based models, or similar classical ML approaches • Preferred: Exposure to real-time or streaming systems, such as Kafka, Pub/Sub, or event-driven architectures • Preferred: Experience with MLOps tooling and practices, including CI/CD for ML, monitoring, and retraining pipelines • Preferred: GPU or large-scale data processing experience, such as RAPIDS, CUDA, or Spark • Preferred: Domain experience in identity resolution, marketing technology, or email deliverability

🏖️ Benefits

• Competitive compensation, including salary, equity, and performance incentives • Opportunity to work on core AI systems that directly impact revenue and product differentiation • High ownership and autonomy in a senior, hands-on role • Remote-first culture with a strong engineering and data focus • Exposure to cutting-edge problems in identity resolution, graph ML, and real-time AI systems • Clear growth path toward Staff / Principal IC roles

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