Director, Machine Learning

🔥 19 hours ago

🇨🇦 Canada – Remote

💵 $240k - $270k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 machine learning charter across identity resolution, fraud and abuse detection, risk scoring, and consumer intelligence • Define ML strategy, roadmap, and delivery • Build and grow a globally distributed team of ML engineers • Hire, coach, and develop senior individual contributors and managers • Set standards for model development, evaluation, deployment, and monitoring • Improve identity resolution coverage, precision, and profile classification accuracy • 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/performance monitoring • Partner with AI engineering on identity and risk signals for NAVI agent decisions • Collaborate with Product, Engineering, Security, and Customer Success • Own build-versus-buy and data-partner decisions and their economics • Communicate model performance, risk, and tradeoffs to executives, retailers, and the board

🎯 Requirements

• 12+ years in engineering • 5+ years managing ML or data teams, including managing managers or senior ICs • Ability to read training pipelines, review feature specifications, and evaluate model metrics • Experience shipping ML systems that make consequential automated decisions in production and owning drift, retraining, and incidents after launch • Deep experience with entity resolution/identity graphs, fraud and abuse detection, risk scoring, or anomaly detection at scale • Experience with precision/recall tradeoffs, holdout hygiene, and model feedback loops • 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, and cloud data warehouses • Experience with GCP • Experience hiring and retaining engineers • Ability to excel in a fast-paced, flat-structure environment • BS/MS in computer science, statistics, or equivalent background • Located in Canada and able to work within EST/EDT or PST hours

🏖️ Benefits

• Annual bonus • Equity • Benefits • Fully remote work • Low ego, high trust, and room to do your best work • Professional celebrations and team events