Machine Learning Engineer II

at  Instacart

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. If you’re ready to do the best work of your life, come join our table.

OVERVIEW

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.
As Instacart grows and takes on more challenging ambitions, we look to engineers to raise the level of execution overall with both depth of knowledge and broad influence. In addition, they are strong communicators, and effective cross-functional operators.

MINIMUM QUALIFICATIONS

• 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 strong analytical skills and problem-solving ability
• Are a strong communicator who can collaborate with diverse stakeholders across all levels

PREFERRED QUALIFICATIONS

• Have 1-2 years of industry experience using machine learning to solve real-world problems with large datasets
• Strong expertise in one or more of the areas:
• Search relevance, recommendations, knowledge graph, catalog, or ads targeting
• Combining machine learning and operations research to solve optimal routing, inventory management or marketing mix optimization
• Fraud Detection, Anomaly Detection and Time-series Forecasting

• 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
• Stay up-to-date with the latest technologies and advancements in ML
• Assist in designing ML services capable of large-scale model development