Senior AI / Machine Learning Engineer

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $135k / year

⏰ Full Time

🟠 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 • Develop and optimize classification models with strong handling of class imbalance and noisy labels • Integrate ML models directly with graph databases for real-time inference and identity scoring • Own model lifecycle concerns 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 • Define ML architecture and ship models operating at sub-second latency • Report to the Head of Data Science & AI

🎯 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

• Health, vision, and dental insurance • Equity options • Performance incentives • Remote-first culture • High ownership and autonomy in a senior, hands-on role • Clear growth path toward Staff / Principal IC roles

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