Remote opportunity at
NarvarDirector, Machine Learning
Narvar is seeking a Director, Machine Learning to lead the artificial intelligence and data science initiatives behind post-purchase retail systems, including user identity resolution and fraud…
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About This Role
Narvar is seeking a Director, Machine Learning to lead the artificial intelligence and data science initiatives behind post-purchase retail systems, including user identity resolution and fraud prevention. The company provides a consumer engagement and post-purchase platform used by thousands of retail brands and hundreds of millions of shoppers worldwide. In this position, the director will guide strategy and execution for engines like Graphite and IRIS, managing model performance, platform architecture,…
Job Description
Narvar is seeking a Director, Machine Learning to lead the artificial intelligence and data science initiatives behind post-purchase retail systems, including user identity resolution and fraud prevention. The company provides a consumer engagement and post-purchase platform used by thousands of retail brands and hundreds of millions of shoppers worldwide. In this position, the director will guide strategy and execution for engines like Graphite and IRIS, managing model performance, platform architecture, and a globally distributed engineering team.
This opportunity is suited for a technical leader who wants to direct machine learning systems carrying measurable business consequences, such as automated risk decisions and security countermeasures against adaptive adversaries. The ideal candidate will combine a strong foundation in software engineering with extensive background in building automated decision-making models in production environments.
Narvar operates on a fully remote basis. Candidates for this position must reside in Canada and be available to work during Eastern or Pacific time zones.
Responsibilities
- Manage the machine learning charter covering identity resolution, risk scoring, consumer intelligence, and abuse detection
- Lead, hire, and mentor a globally distributed team of machine learning engineers, managers, and senior individual contributors
- Establish and enforce technical standards for model creation, evaluation, deployment, and performance monitoring
- Oversee model accuracy, detection rates, false-positive metrics, and feedback loops for the IRIS fraud and returns engine
- Develop the underlying machine learning platform layer including feature stores, model registries, training pipelines, and online serving infrastructure
- Collaborate with the artificial intelligence engineering team to supply risk and identity signals to agentic systems
- Partner with product, security, engineering, and customer success groups to translate business challenges into technical solutions
- Evaluate data-partner and build-versus-buy decisions relating to third-party identity providers
- Present model performance, risk factors, and strategic tradeoffs to executive leadership and the board
Requirements
- Located in Canada and able to work during Eastern or Pacific time hours
- At least twelve years of experience in engineering
- Minimum of five years of experience managing machine learning or data teams, including leadership of managers or senior individual contributors
- Demonstrated experience shipping and maintaining automated machine learning systems in production environments
- In-depth background in at least one of the following areas at scale: entity resolution, identity graphs, fraud and abuse detection, risk scoring, or anomaly detection
- Strong command of evaluation techniques concerning heavily imbalanced data and holdout hygiene
- Experience building or scaling machine learning infrastructure such as feature pipelines, training orchestration, and online model serving
- Proficiency in Python and familiarity with modern data stacks including Spark, streaming, cloud data warehouses, and Google Cloud Platform
Qualifications
- Bachelor or Master of Science degree in computer science, statistics, or an equivalent academic background
- Practical work history involving identity resolution or graph systems using third-party consumer data
- Experience operating adversarial machine learning systems against actively adapting actors
- Background in building real-time inference pathways subject to strict request latency budgets
- Prior professional exposure within retail, payments, fintech, insurance, or marketplace trust and safety industries
- Collaboration experience alongside large language model or agent teams
- Familiarity with data governance, privacy, and consent regulations regarding consumer identity data
- Track record of initiating functions, platforms, or data partnerships from inception
Core Skills
Benefits
- Annual bonus
- Equity
- Standard employee benefits
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote work policy for this role?
The position is fully remote. Candidates must reside in Canada and be able to work during Eastern or Pacific time zones.
What is the salary range for the Director, Machine Learning position?
The estimated annual base salary ranges from CAD 240,000 to 260,000, which does not include additional components like annual bonuses, equity, and benefits.
What qualifications are required for applicants?
Applicants must have at least 12 years of engineering experience, including 5 or more years managing data or machine learning teams, along with production experience in automated machine learning systems, anomaly detection, fraud, or identity resolution.
Sample Interview Questions
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