Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in applying AI models to real-world problems. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build and optimize machine learning models effectively. You are passionate about mentoring and developing talent within your team, fostering a principled engineering culture that values collaboration and innovation.

You thrive in complex environments, particularly in digital advertising, where you can leverage your skills to deliver quantifiable impacts to users and partners. Your problem-solving abilities enable you to tackle optimization challenges in a four-sided marketplace, ensuring that your solutions are both effective and scalable.

What you'll do

In this role, you will lead the development and implementation of machine learning models that enhance the quality of ads on Instacart's platform. You will collaborate with cross-functional teams to identify opportunities for AI-driven improvements and drive the execution of these initiatives. Your responsibilities will include mentoring junior engineers, guiding them in best practices for machine learning and software development.

You will also be responsible for analyzing data to inform model training and evaluation, ensuring that the models you develop are robust and reliable. By staying at the forefront of AI technologies, you will help shape the future of grocery delivery through innovative solutions that meet the diverse needs of our community.

What we offer

Instacart provides a flexible work environment that allows you to choose where you do your best work, whether from home or in an office. We offer competitive compensation, including a base salary range of $261,000 to $330,500 depending on your location and experience. Additionally, you will be eligible for equity grants and comprehensive benefits that support your well-being and professional growth.

Join us at Instacart, where you can make a meaningful impact in the grocery industry while working with a talented team dedicated to transforming how people access food. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.