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, we’re driving meaningful impact for both people and the planet.

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 (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

ROLE OVERVIEW:

We’re looking for a Machine Learning Engineer to help power decision-making, personalization, and automation at Flashfood. Reporting to the Director of Data, you’ll 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. You’ll play a key role in building the next generation of ML infrastructure and shaping how predictive technologies are used across the business.

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 (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 audience