Senior ML Engineer - Ranking & Personalization (Remote)

Jobgether SRL

Canada

Remote

CAD 243,000 - 282,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, and vision coverage
Remote work reimbursement
Equity program
Paid time off
Employee assistance programs
Additional country-specific benefits

Job summary

Jobgether SRL is seeking a Senior Machine Learning Engineer, Ranking, to advance recommendation and ranking systems across a large-scale knowledge-sharing platform. This remote role in Canada leads end-to-end ML pipelines, feature engineering, model training and production deployment, collaborating with a distributed team.

You will improve second-stage ranking models for personalized feeds and digests, apply modern ML techniques, and drive reliable, scalable solutions that impact millions of

Qualifications

  • 3+ years of experience developing recommendation or ranking models.
  • Strong mathematical foundation for ML algorithms.
  • Experience building end-to-end ML systems in production.
  • Bachelor’s/Master’s/PhD in CS, Engineering, or related field.

Responsibilities

  • Improve and evolve ranking models with strong software engineering.
  • Own ML systems from data pipelines to production deployment.
  • Advance second-stage ranking for personalized feeds and digests.
  • Collaborate with distributed ML engineers to design and optimize algorithms.

Skills

Recommendation systems
Ranking models
Distributed teamwork
Strong mathematical foundations
Data pipelines

Education

Bachelors in CS/Engineering or related
Masters/PhD in related field (optional)

Tools

Python
C++

Job description

Jobgether SRL is seeking a Senior Machine Learning Engineer, Ranking, to advance recommendation and ranking systems across a large-scale knowledge-sharing platform. This remote role in Canada leads end-to-end ML pipelines, feature engineering, model training and production deployment, collaborating with a distributed team.

You will improve second-stage ranking models for personalized feeds and digests, apply modern ML techniques, and drive reliable, scalable solutions that impact millions of

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