2 days ago
Toronto, CanadaSenior
Responsibilities
- Build and own backend services and data paths that move model-generated enhancements from batch pipelines into the live product.
- Design dependable catalog-scale generation infrastructure, including backfills, freshness and staleness detection, coverage monitoring, and generated-content versioning.
- Accelerate data science prototype-to-production experiments through handoff contracts, output auditing tools, and evaluation hooks.
- Ship changes behind experiment flags and own test plans, launch readiness, and post-launch health.
- Balance cost, latency, and quality when running LLM and computer vision workloads over large datasets.
- Mentor fellow engineers on technical and product judgment.
Requirements
- 5+ years of experience.
- Proficiency in at least one of Java, Kotlin, or JavaScript.
- Comfort with agentic coding tools.
- Familiarity with HTML, CSS, TypeScript, React, and Next.js.
- Experience building or operating data pipelines, including Airflow or similar and a data warehouse such as Snowflake.
- Comfort working with ML or LLM outputs in production and understanding how they fail.
- Fluency with experimentation, including rollout design and distinguishing real results from noise.
- Bachelor’s degree in Computer Science or Software Engineering, or equivalent industry experience.
- Strong curiosity, product sense, data-driven judgment, and interest in using technology to solve customer problems.
Benefits
- Canada base salary range of $156,000-$214,500 per year, plus equity and benefits.
- Hybrid schedule of three office days per week—Tuesday, Thursday, and one flex day—with up to four weeks of remote work per year.
- Flexible paid time off and company-wide recharge days.
- Paid parental leave of up to 16 weeks.
- Comprehensive health coverage with location-dependent options.
- Fertility and family-building benefits through Carrot.
- Mental health support and coaching through Modern Health.
- Professional development, wellness, and work-from-home stipends.
- Employer-sponsored retirement plan, dependent on country of employment.
Tech Stack
Categories
BackendProduct Engineering
About Faire
Faire builds a B2B wholesale marketplace that connects independent retailers with consumer brands for product discovery, ordering, and net terms. It monetizes through marketplace commissions and financial services, and provides tools for payments, returns, and analytics to help shops source inventory. Founded in 2017 and headquartered in San Francisco, it operates across North America and Europe and is privately held.