Instacart
Other Open Roles
- Machine Learning Engineer II, Economist
- Associate, Product Analytics
- Senior Business Intelligence Analyst
- Sr. Associate, Product Analytics
- Senior Machine Learning Engineer (L5/L6)
Prior Listings
- Director of Data Science, Ads
- Machine Learning Engineer, (Staff/Senior)
- Manager, Data Science - Ads
- Manager, Data Science - Enterprise
- Knowledge Graph, Machine Learning Engineer, (Staff/Senior)
- Data Manager, OMO
- Analyst II, OMO
- Senior Analyst, OMO
- Senior Data Scientist
- Director of Data Science, Pricing
- Ad Relevance and Ranking, Machine Learning Engineer (Staff/Senior)
- Engineering Manager, Data
- Software Engineer, Data
- Staff Data Scientist
- Senior Manager, Data Science - Growth
- Machine Learning Infrastructure, Software Engineer (Staff/Senior)
- Economist - Machine Learning Engineer, Senior
- Staff Data Scientist
- Senior Data Scientist
- Senior Analytics Engineer - Finance Data
Machine Learning Engineer II
Machine Learning Engineer II
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.
ABOUT THE ROLE
- 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
ABOUT YOU
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