Lead Recommender Systems ML Engineer (Production)

Beatdapp; Vancouver; On-site; CAD 100,000 - 130,000; Full time

Job summary

An innovative technology startup in Vancouver is seeking a Data Scientist / Machine Learning Engineer specializing in Recommendation Systems. This role involves designing scalable architectures, developing deep learning models for rich user interaction, and ensuring models perform in a production environment. The ideal candidate has over 3 years of experience in machine learning, proficiency in Python, and a solid understanding of deep learning techniques. The company offers an opportunity to work on cutting-edge technology in a dynamic team environment.

Qualifications

• 3+ years of experience in Data Science or Machine Learning Engineering with a focus on Recommendation Systems.
• Proficiency in Python and ML frameworks like PyTorch and TensorFlow.
• Practical knowledge of advanced ML techniques relevant to recommendation systems.
• Familiarity with vector databases and cloud infrastructure.
• Solid understanding of advanced statistical concepts.

Responsibilities

• Design and implement scalable recommendation architectures.
• Own projects across the Machine Learning lifecycle.
• Develop deep learning models to create user and item embeddings.
• Execute distributed training workflows using multi-GPU strategies.
• Mine high-dimensional user and track event data to enhance models.

Skills

Recommendation Systems

Python

Deep Learning

Machine Learning

Data Engineering

Tools

PyTorch

TensorFlow

GCP

AWS

Job description

An innovative technology startup in Vancouver is seeking a Data Scientist / Machine Learning Engineer specializing in Recommendation Systems. This role involves designing scalable architectures, developing deep learning models for rich user interaction, and ensuring models perform in a production environment. The ideal candidate has over 3 years of experience in machine learning, proficiency in Python, and a solid understanding of deep learning techniques. The company offers an opportunity to work on cutting-edge technology in a dynamic team environment.