Senior ML Engineer - Real-Time Personalization (Remote)
vaga para Senior ML Engineer, Recommendation Systems na Launch Potato
Mississauga
À distance
CAD 100 000 - 130 000
Plein temps
Hier
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Résumé du poste
A profitable digital media company is looking for a Senior Machine Learning Engineer specializing in Recommendation Systems. In this role, you will design and optimize ML systems that deliver real-time recommendations across millions of users. Candidates should have a strong background in ranking algorithms, experience with large-scale ML deployments, and proficiency in Python and SQL. This is an opportunity to make a significant impact on user engagement and revenue.
Qualifications
5 years building and scaling production ML systems with measurable business impact.
Experience deploying ML systems serving 100M predictions daily.
Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning).
Responsabilités
Drive business growth by building and optimizing the recommendation systems.
Own the modeling, feature engineering, data pipelines, and experimentation.
Build and deploy ML models serving 100M predictions per day.
Connaissances
Building and scaling production ML systems
Fluency in ranking algorithms
Proficiency with Python
Experience with SQL and modern data warehouses
Familiarity with distributed computing
Outils
TensorFlow
PyTorch
Spark
Ray
Description du poste
A profitable digital media company is looking for a Senior Machine Learning Engineer specializing in Recommendation Systems. In this role, you will design and optimize ML systems that deliver real-time recommendations across millions of users. Candidates should have a strong background in ranking algorithms, experience with large-scale ML deployments, and proficiency in Python and SQL. This is an opportunity to make a significant impact on user engagement and revenue.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.