Lead Machine Learning Engineer

ZipRecruiter; Greater Toronto Area; On-site; CAD 120,000 - 160,000; Full time

Job summary

A leading retail company is seeking a Lead Machine Learning Engineer to drive the development of innovative personalization systems. You will lead efforts in architecting deep learning models, optimizing generative AI applications, and collaborating with cross-functional teams to enhance customer engagement. The role offers a competitive salary, professional growth opportunities, and access to cutting-edge technologies.

Benefits

Competitive salary and benefits package

Opportunities for professional growth and development

Collaborative and inclusive work environment

Access to cutting-edge technologies and projects

Qualifications

• 7+ years of experience in machine learning engineering, with a focus on recommendation systems.
• Proven experience with GCP services and ML infrastructure at scale.
• Track record of deploying ML models to production at scale.

Responsibilities

• Lead the development of next-generation personalization systems.
• Architect and implement advanced deep learning models for multimodal recommendation systems.
• Collaborate with product managers and engineers to translate business requirements into technical solutions.

Skills

Deep Learning

Machine Learning

Python

SQL

Cloud Development

Containerization

Orchestration

Big Data Processing

Distributed Computing

Real-time Inference Systems

Education

Master's or PhD in Computer Science

Tools

GCP

PyTorch

TensorFlow

Docker

Kubernetes

Apache Airflow

Spark

Job description

Job Description

Your new company

Join a leading retail company that is dedicated to providing exceptional customer experiences and innovative solutions. This organization is committed to leveraging cutting-edge technologies to drive business growth and enhance operational efficiency.

Your new role

As a Lead Machine Learning Engineer, you will lead the development of next- personalization systems, including the Multimodal Recommendation Engine and emerging generative AI initiatives. Your tasks will include:

• Architecting and implementing advanced deep learning models for multimodal recommendation systems, processing diverse data types including text, images, user behavior, item features, offer data, and contextual signals
• Leading the development and optimization of generative AI applications for personalized product discovery, search enhancement, and customer engagement
• Designing and maintaining highly scalable ML infrastructure using GCP services (Vertex AI, BigTable, BigQuery, Cloud Composer) capable of handling millions of daily predictions
• Building and optimizing end-to-end ML pipelines for model training, deployment, and monitoring at scale
• Driving architecture decisions for the personalization platform
• Collaborating with product managers, data scientists, and engineers to translate business requirements into robust technical solutions
• Leading experimentation strategies with measurable KPIs including adoption, conversion, and retention

What you'll need to succeed

• Master's or PhD in Computer Science, Machine Learning, or related field
• 7+ years of experience in machine learning engineering, with a focus on recommendation systems or personalization
• Strong expertise in deep learning frameworks (PyTorch or TensorFlow) and building production-grade ML systems
• Proven experience with GCP services and ML infrastructure at scale
• Proficiency in Python, SQL, and cloud- development
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Track record of deploying ML models to production at scale
• Experience with multimodal deep learning architectures and generative AI models
• Knowledge of modern recommendation system architectures (transformers, neural collaborative filtering)
• Expertise in building real-time inference systems
• Experience with distributed computing frameworks (Spark) and big data processing
• Familiarity with Apache Airflow (Cloud Composer) and CI/CD pipelines

What you'll get in return

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• Access to cutting-edge technologies and projects
• The chance to work with industry leaders and innovators

What you need to do now

If you're interested in this exciting opportunity, click 'apply now' to forward an up-to-date copy of your CV, or call us for a confidential discussion.