Director, Machine Learning

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $240k - $260k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Narvar

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

📦 Logistics

📣 Marketing

💼 Consulting

💰 $30M Series C on 2018-08

Logistics • Marketing • Consulting

Narvar is a company that specializes in creating intelligent post-purchase experiences for ecommerce businesses. Their platform provides a range of services to enhance customer engagement and retention, from setting clear delivery expectations and proactive multi-channel messaging to seamless returns and exchanges. Narvar's solutions are designed to build loyalty by personalizing the consumer journey and optimizing reverse logistics, ultimately converting and retaining customers while increasing revenue and reducing costs. The company boasts a powerful network and integrations with popular platforms like Shopify, Zendesk, and Salesforce, and supports over 2,000 retailers globally. Narvar's services cater to a variety of industries including apparel, electronics, and beauty, providing exceptional post-purchase experiences through actionable insights and data-driven interactions across their ecosystem.

📋 Description

• Own the ML charter across identity resolution, fraud and abuse detection, risk scoring, and consumer intelligence, including strategy, roadmap, and delivery • Build and grow a high-performing, globally distributed team of ML engineers • Hire, coach, and develop senior individual contributors and managers • Set standards for how models are built, evaluated, deployed, and monitored • Improve identity resolution coverage, precision, and profile classification accuracy against measured holdout baselines • Own IRIS model performance, including detection rate, false-positive rate, label quality, and feedback loops • Build the ML platform layer, including feature stores, training pipelines, model registry, online serving, and drift and performance monitoring • Partner with AI engineering so identity and risk signals inform NAVI agent decisions • Collaborate with Product, Engineering, Security, and Customer Success to translate retailer problems into ML initiatives • Own build-versus-buy and data-partner decisions, including economics • Communicate model performance, risk, and tradeoffs to executives, retailers, and the board

🎯 Requirements

• Located in Canada and able to work within EST/EDT or PST hours • 12+ years in engineering • 5+ years managing ML or data teams, including managing managers or senior ICs • Ability to read a training pipeline, review a feature specification, and evaluate whether an evaluation measures the right thing • Experience shipping ML systems that make consequential automated decisions in production and owning them after launch, including drift, retraining, and incidents • Deep experience with at least one of: entity resolution / identity graphs, fraud and abuse detection, risk scoring, or anomaly detection at scale • Understanding of noisy and delayed labels, silent system failures, misleading offline metrics, and adaptive adversaries • Experience with precision/recall tradeoffs on heavily imbalanced data, holdout hygiene, and feedback loops affecting future labels • Experience building or scaling ML infrastructure, including feature pipelines, training orchestration, online model serving, monitoring, and alerting • Fluency in Python • Comfort with Spark, Airflow or equivalent, streaming, cloud data warehouses, and GCP • Experience hiring and retaining engineers and developing their careers • Ability to excel in a fast-paced, flat-structure environment • BS/MS in computer science, statistics, or an equivalent background

🏖️ Benefits

• Annual bonus • Equity • Benefits • Fully remote work • Low ego, high trust, and room to do your best work • Professional wins, baby showers, birthday parties, and other celebrations

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