Senior ML Engineer: Real-Time Ranking & Search in Production in Toronto

Senior ML Engineer: Real-Time Ranking & Search in Production in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Train and ship ML models for search and data AI agents.
  • Company: Join Firecrawl, a leader in ML-powered search technology.
  • Benefits: Competitive salary, health benefits, and a vibrant office culture.
  • Other info: On-site work in Toronto with great career advancement opportunities.
  • Why this job: Make an impact with cutting-edge ML technology in a fast-growing product.
  • Qualifications: 3+ years of production ML experience required.

The predicted salary is between 135000 - 165000 $ per year.

Firecrawl is building ML-powered search and data AI agents.

You’ll train and ship ranking and relevance models for our fast-growing product, then extend this work to extraction quality and LLM-driven features.

You’ll also own how we measure success with AB testing frameworks and experimentation initiatives.

The Toronto Hub is one of two offices, with on-site work five days a week.

This full-time role requires 3+ years of production ML experience and authorization to work in the US or Canada.

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Senior ML Engineer: Real-Time Ranking & Search in Production in Toronto employer: Urban Ridge Supplies

Tata Consultancy Services (TCS) is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior Solutions Engineers to thrive. With a strong emphasis on employee growth, TCS offers numerous opportunities for professional development and mentorship, particularly in cutting-edge AI technologies. Located in a vibrant tech hub, employees benefit from a dynamic environment that encourages creativity and impactful contributions to transformative projects.

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Contact Details:

Urban Ridge Supplies Recruitment Team

We think you need these skills to ace Senior ML Engineer: Real-Time Ranking & Search in Production in Toronto

Machine Learning
Model Training
Ranking Models
Relevance Models
Data Extraction
LLM-driven Features
AB Testing Frameworks