Machine Learning Engineer, Catalog & Knowledge Graph (Staff/Senior)

 Instacart
 a month ago
 None

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.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. 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.

OVERVIEW

The General ML team is dedicated to building a multi-faceted machine learning foundation at Instacart.

We are utilizing machine learning to develop catalog solutions, including product taxonomy classification and catalog data anomaly detection. We are developing the Knowledge Graph and employing graph learning to shape the understanding of products for machine learning applications. In addition, we are creating content that inspires customers to discover new products on Instacart.

We are looking for machine learning engineers to advance this initiative, establish the foundation for a variety of machine learning applications at Instacart, and serve millions of households.

ABOUT THE JOB

As a senior/staff machine learning engineer on the General ML team

  • You use your strong engineering and machine learning skills to analyze problems and propose creative solutions in related team fields (catalog, knowledge graph, and inspirational content).
  • You build the vision and roadmap for your field and prioritize the work that best aligns with business objectives.
  • You work multi-functionally with other partners/teams to define goals, build alignments and drive projects.
  • You are responsible for the success of projects in your field and hold yourself accountable for the outcomes of each milestone.
  • You are a thought leader in your field, mentor junior engineers, and help the team grow and evolve.

ABOUT YOU

MINIMUM QUALIFICATIONS

  • A graduate degree in artificial intelligence, machine learning, or equivalent self-study and experience.
  • Extensive experience in natural language processing, knowledge graph, computer vision, text mining, and/or information extraction.
  • Comfortable with learning and using state-of-the-art machine learning algorithms in the field.
  • Strong programming skills and experience in Python, data manipulation (SQL, Spark, Pandas), and popular machine learning tools (PyTorch, Tensorflow, Scikit-learn, XGBoost), or equivalent experience.

Preferred Qualifications

  • Familiar with works related to the product catalog, taxonomy enrichment, product enrichment, graph learning, and/or collaborative filtering.
  • Strong communication skills and previous experience leading projects with multi-functional partners.
  • Experience in handling projects of significant complexity and ambiguity.
  • Strong engineering background and can develop end-to-end machine learning solutions.
  • Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.

Accommodations & Accessibility

At Instacart, we strive to create an accessible and inclusive experience for all candidates. If you need assistance submitting an application through our career site due to a disability, please submit an Accommodations Request Form and someone from our team will reach out soon to see how we may be able to assist.

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