Machine Learning Engineer, Fulfillment / Supply Chain

Loblaw Digital; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a Machine Learning Engineer to enhance their fulfillment platform through data-driven solutions. This role involves leveraging operational data to optimize inventory and fulfillment capacity, ensuring timely deliveries while managing costs. Collaborating with various teams, you will develop high-performance machine learning models and contribute to impactful projects that transform the shopping experience for Canadians. If you are passionate about data science and eager to tackle dynamic challenges in a fast-paced environment, this opportunity is perfect for you.

Qualifications

• Experience in predictive analytics and supply chain optimization.
• Ability to work independently and collaboratively in dynamic environments.

Responsibilities

• Develop scalable ML solutions using large datasets.
• Collaborate with teams to deploy models into production.
• Measure effectiveness of solutions via key metrics.

Skills

SQL

Python

Shell Scripting

Predictive Analytics

Time Series Forecasting

Operations Research

Supply Chain Optimization

Problem Solving

Education

MS or Ph.D. in STEM

BS with equivalent experience

Tools

Spark

Beam

Kafka

Airflow

AWS

GCP

Azure

Job description

Machine Learning Engineer, Fulfillment / Supply Chain

Pay: Competitive

Employment type: Other

Job Description

Req#: 0d74056e-0adf-41c9-886a-1b643f62b74f

Location

Toronto, Canada

Department

Technology – Data Science

Position Type

Full-time / Hybrid

About Loblaw Digital

At Loblaw Digital, we aim to build innovative online shopping experiences and impactful apps for Canadians. Based in downtown Toronto, we are a fast-paced, entrepreneurial team transforming how Canadians shop through eCommerce in grocery, beauty, pharmacy, loyalty, and apparel sectors. We seek passionate individuals to collaborate, solve challenging problems, and make a lasting impact.

Role Overview

As a Machine Learning Engineer (Operations Research Engineer), you will develop machine learning solutions to enhance our fulfillment platform, improving customer experience and store operations. Your work involves leveraging operational data to predict, forecast, and optimize inventory and fulfillment capacity, balancing timely deliveries with operational costs. You will collaborate with stakeholders across Store Operations, Fulfillment Software Engineering, Product Management, and Analytics, from brainstorming to deployment.

Responsibilities

1. Communicate: Collaborate cross-functionally with teams to source data, define requirements, and establish success metrics.
2. Code: Develop scalable, high-performance ML solutions using large structured and unstructured datasets.
3. Collaborate: Work with Engineering and Data Platform teams to deploy models into production.
4. Design experiments: Measure the effectiveness of solutions via key metrics like labor rate, pick efficiency, order readiness, and fill rate.
5. Document: Share findings and results with stakeholders and engage in technical discussions with Data Science teams.

Candidate Profile

• MS or Ph.D. in STEM (preferably computer science) or BS with equivalent experience in data science/ML roles.
• Portfolio of work in predictive analytics, time series forecasting, operations research, or supply chain optimization.
• Creative, resourceful, and effective problem-solver.
• Passionate about applying data science to dynamic problems.
• Ability to work independently and collaboratively.
• Proficient in SQL, Python, shell scripting/unix.
• Experience with big data tools (Spark, Beam, Kafka), Airflow, and cloud platforms (AWS, GCP, Azure).
• Knowledge of software development best practices.

Success Factors

We value authenticity, trust, and connection. Passionate colleagues drive innovation, supported by cutting-edge technologies, creating products loved by customers. Loblaw Digital celebrates Canada's diversity and is committed to inclusivity and legal compliance. Accommodation is available upon request for applicants with disabilities.

Rooted in legacy. Driven by data. Designed for real life. We’re hiring!