# Staff Machine Learning Engineer, Merchants

**Company**: Pinterest
**Location**: Toronto, ON
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $213,180-$314,160 CAD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8049465?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2cd1e8b6-cd7

## Description

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love. We're looking for a Staff Machine Learning Engineer to help drive the future of merchant presence and shopping experiences on Pinterest.

This role sits on the Merchant team and focuses on building AI/ML systems that identify, understand, and surface relevant, high-quality merchants across segments. You’ll lead LLM-first, evaluation-driven initiatives, focusing on agentic workflows, measurement, and operational rigor that strengthen Merchant Integrity and Business Integrity.

## Responsibilities:

- Own end-to-end technical delivery for cross-team initiatives, from problem framing to rollout and iteration.

- Set technical direction and execution plans with a Director and cross-functional leads.

- Build and evolve ML and GenAI systems that improve merchant quality and understanding.

- Establish robust evaluation and measurement practices across ML + LLM-assisted systems.

- Design systems with strong attention to quality, cost, latency, reliability, and safety.

- Establish the ML engineering operating model for the org.

- Partner with cross-functional stakeholders to align on goals and rollout plans.

- Drive experimentation and iteration, lead error analysis, and translate learnings into measurable improvements.

- Mentor and raise the bar for technical design, evaluation rigor, and production readiness across the team.

- Help scale the domain by supporting hiring and onboarding over time.

## Requirements:

- 8+ years of industry experience in ML engineering / applied ML / software engineering, including meaningful time operating as a Staff-level (or equivalent) IC delivering complex production systems.

- Demonstrated ability to lead 0→1 ML/LLM efforts and deliver a production system with measurable impact.

- Strong track record shipping ML-powered systems in domains such as recommendation, ranking, retrieval, content understanding, ads relevance, commerce, or adjacent areas.

- Hands-on experience building LLM-powered applications in production.

- Deep experience with evaluation and measurement.

- Strong systems design skills building data- and ML-intensive systems.

- Strong communication skills and the ability to influence technical direction across teams.

- Demonstrated experience building and enhancing cross-functional partnerships with other teams and organizations.

- Bachelor’s degree in Computer Science, Engineering, or a related technical field,or equivalent practical experience.

The base salary range for this position is $213,180-$314,160 CAD.

## Skills

### Required
- Machine Learning Engineering
- Applied ML
- Software Engineering
- LLM-powered applications
- Evaluation and Measurement
- Systems Design
- Communication
- Cross-functional partnerships

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8049465?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)