Machine Learning Engineer

Flashfood; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A food sustainability platform in Toronto is seeking a Machine Learning Engineer to enhance decision-making through predictive technologies. You will develop and deploy models to improve customer experience and operational efficiency. The ideal candidate has 3-5 years of experience in machine learning, is proficient in Python and SQL, and is passionate about reducing food waste and increasing accessibility to nutritious meals.

Benefits

Competitive salary

Comprehensive health, dental, and vision benefits

Opportunities for growth and learning

Collaborative remote-first team culture

Qualifications

• 3-5 years of experience in machine learning or data science roles with experience deploying models into production.
• Proficient in Python and SQL; experience with ML libraries such as scikit-learn, PyTorch or XGBoost.
• Experience working with cloud data environments.

Responsibilities

• Design, train and evaluate machine learning models to support business goals.
• Collaborate with data scientists and engineers to operationalize models.
• Monitor model performance over time and improve accuracy.

Skills

Machine Learning

Data Science

Python

SQL

ML libraries

Tools

Databricks

MLflow

Snowflake

Job description

Overview

Flashfood is a marketplace app that connects grocery retailers with shoppers to sell food nearing its best-before date at a deep discount. Our mission is to reduce food waste and make food more affordable. By keeping great food out of landfills and helping people access nutritious meals for less were driving meaningful impact for both people and the planet.

How it works

• Download the Flashfood app and create an account
• Browse deals at nearby partner grocery stores
• Purchase items through the app
• Pick up purchases from the Flashfood Zone in-store

Role Overview

Were looking for a Machine Learning Engineer to help power decision-making personalization and automation at Flashfood. Reporting to the Director of Data youll work closely with data analysts engineers and product managers to design and deploy machine learning models that improve customer experience enhance retailer insights and drive operational efficiency.

This is a hands-on role focused on turning raw data into intelligent scalable systems that enable better business outcomes. Youll play a key role in building the next generation of ML infrastructure and shaping how predictive technologies are used across the business.

Responsibilities

• Model Development & Deployment
  • Design train and evaluate machine learning models to support business goals (e.g. recommendation systems dynamic pricing demand forecasting user segmentation)
  • Collaborate with data scientists analysts and engineers to operationalize models using tools such as Databricks MLflow and Spark
  • Develop robust pipelines to deploy models into production ensuring scalability reliability and performance
  • Monitor model performance over time retrain as needed and improve accuracy and impact
• Data Engineering & Infrastructure
  • Collaborate with data engineering teams to build reliable well-structured datasets
  • Contribute to ML platform and pipeline improvements (CI / CD for ML observability feature stores)
  • Ensure that models are integrated seamlessly into our core products and tools
• Collaboration & Enablement
  • Partner with Product Marketing and Operations teams to understand challenges and identify ML opportunities
  • Present insights and model outcomes to cross-functional stakeholders in a clear and actionable way
  • Contribute to team best practices around model development experimentation and documentation

Qualifications

• 35 years of experience in machine learning or data science roles with experience deploying models into production
• Proficient in Python and SQL; experience with ML libraries such as scikit-learn PyTorch or XGBoost
• Experience working with cloud data environments (e.g. Snowflake Databricks AWS)
• Familiarity with ML and data pipeline tools (e.g. MLflow Airflow dbt) as well as MLOps best practices
• Strong problem-solving skills and ability to communicate technical concepts to non-technical audiences
• Passion for purpose-driven work and a desire to reduce food waste and make food more accessible

What We Offer

• Competitive salary
• Comprehensive health dental and vision benefits
• Opportunities for growth and learning within a high-impact mission
• Collaborative remote-first team culture

The chance to help solve one of the planets biggest sustainability challenges

Required Experience

Senior IC

Key Skills

Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

Employment Type

Employment Type : Full-Time

Experience

Experience : years

Vacancy

Vacancy : 1