Jobs

    Machine Learning Engineer - Canada - Boundlessfellows

    Boundlessfellows
    Boundlessfellows Canada

    2 weeks ago

    Default job background
    Description
    We're transforming the grocery industry

    At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together.

    Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community.

    We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

    Instacart has become a lifeline for millions of people, and we're building the team to help push our shopping cart forward.

    Our employees have the flexibility to choose where they do their best work—whether it's from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

    Learn more about our flexible approach to where we work.

    We're looking for mid level machine learning engineers who have a strong foundational understanding of ML concepts to join our team.

    We work on a range of interesting and challenging problems, from ensuring deliveries are efficient and on-time to helping customers decide what to buy.

    Machine learning is at the heart of this effort and an essential ingredient in Instacart's aggressive growth plan and vision for the future.

    This is an individual contributor role with significant impact within the machine learning and product teams
    You will collaborate with Staff Machine Learning Engineers and Product Managers to influence features and projects
    Design, develop, test, and deploy machine learning models to solve customer problems and drive business forward
    Have a graduate degree (masters or PhD) in artificial intelligence, machine learning or equivalent self study and experience
    Have strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
    Have 1-2 years of industry experience using machine learning to solve real-world problems with large datasets
    Combining machine learning and operations research to solve optimal routing, inventory management or marketing mix optimization
    Fraud Detection, Anomaly Detection and Time-series Forecasting

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