Who we are:
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