About The Company

Instacart is revolutionizing the grocery industry by providing innovative solutions that connect consumers with their favorite products efficiently and conveniently. Our mission is to democratize access to food and household essentials, ensuring everyone has the opportunity to enjoy the products they love while fostering community and connection through shared meals. As a leading player in the on-demand grocery delivery space, we serve millions of customers nationwide, offering flexible earning opportunities to our Personal Shoppers and empowering local stores with cutting-edge technology. Our commitment to safety, flexibility, and community engagement makes us a trusted partner for both consumers and retailers alike.

About The Role

We are seeking a highly motivated Staff Machine Learning Software Engineer to join our dynamic team. In this pivotal role, you will be responsible for developing and enhancing our next-generation platforms that facilitate real-time inventory understanding, observation, and prediction. Your work will enable us to accurately monitor stock levels across thousands of local stores, providing data-driven insights that improve search relevance, logistics, and overall customer experience. You will lead strategic technical initiatives, foster a culture of best practices in machine learning, and collaborate closely with software engineers, data scientists, and product teams. Your expertise will drive innovation and help shape the future of inventory intelligence at Instacart, ensuring we stay ahead in the rapidly evolving grocery technology landscape.

The inventory intelligence team is at the forefront of our efforts to maintain precise, real-time shelf data. This high-performance team manages end-to-end processes, from ingesting data from various sources to modeling inventory dynamics and integrating these insights into our core products. Your contributions will directly impact the accuracy of our inventory estimates, which are critical to our operational success and customer satisfaction. Join us in building scalable, robust solutions that empower grocers and delight shoppers.

Qualifications

• 7+ years of experience in production machine learning environments, demonstrating success across multiple projects
• Proficiency in Python programming language
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Strong understanding of systems observability, testing, and problem-solving methodologies
• Exceptional communication skills with the ability to lead cross-functional teams
• Proven track record of building scalable solutions and architectures
• Experience in developing projects from inception through to deployment and iteration

Responsibilities

• Own end-to-end outcomes involving multiple models, data sources, and dynamic systems to enhance inventory prediction accuracy
• Develop and execute strategic roadmaps for modeling inventory dynamics across varying observation densities
• Make informed technology choices based on problem maturity and complexity to optimize performance and scalability
• Collaborate effectively with cross-functional teams including software engineers, product managers, and data scientists to align on development goals
• Lead and contribute to projects from initial conception through deployment, ensuring robustness and reliability
• Mentor team members, introduce advanced machine learning technologies, and foster a culture of continuous improvement and best practices

Benefits

• Competitive salary packages aligned with industry standards
• Comprehensive health, dental, and vision insurance plans
• Flexible remote work options as part of our Flex First approach
• Equity grants for new hires and annual refresh grants to reward contributions
• Paid time off, holidays, and wellness programs to support work-life balance
• Opportunities for professional development and career growth within a fast-paced, innovative environment

Equal Opportunity

Instacart is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to providing equitable employment opportunities regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.