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Instacart is revolutionizing the grocery industry by providing innovative solutions that connect customers with their favorite products efficiently and conveniently. Our mission is to make food accessible to everyone while fostering a community built on trust, quality, and service. We believe that everyone deserves access to the food they love and more time to enjoy it together. As a leading player in the on-demand grocery delivery sector, we work tirelessly to deliver essential services that millions of customers rely on daily. Our platform not only offers grocery delivery but also provides flexible earning opportunities for our Personal Shoppers, empowering individuals to earn on their own terms. With a focus on leveraging cutting-edge technology and data-driven insights, we aim to enhance the shopping experience and streamline supply chain operations across diverse markets.
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 instrumental in developing our next-generation platforms dedicated to understanding, observing, and predicting inventory levels in real time. Your work will enable us to deliver precise and comprehensive shelf data, scaled to every local store, akin to the accuracy of a warehouse but across multiple retail locations. You will bring a systems-thinking approach to lead strategic technical initiatives and foster a culture of best practices within machine learning. Collaborating closely with software engineers, product managers, and data scientists, you will introduce advanced technologies and drive innovative product solutions. Your contributions will directly impact our inventory intelligence capabilities, which are critical for search, logistics, and overall customer experience. This role offers an exciting opportunity to work at the forefront of AI-driven supply chain management and contribute to the company's growth and technological excellence.
Qualifications
- 7+ years of production machine learning experience with a proven track record of successful multi-project initiatives
- Proficiency in Python programming language
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Strong foundation in testing methodologies, systems observability, and problem-solving skills
- Exceptional communication skills with the ability to lead and collaborate across diverse teams including software engineers, product managers, and data scientists
- Experience in building scalable solutions and architectures (preferred)
- Experience in developing net-new projects from inception to second-generation deployment (preferred)
- Own end-to-end outcomes by integrating multiple models, data sources, and dynamic systems to improve inventory predictions
- Develop and implement strategic roadmaps for modeling inventory dynamics across different observation-density regimes
- Make informed technology choices based on problem maturity and requirements
- Collaborate effectively across teams to foster a unified approach to development and drive consensus on technical solutions
- Lead and execute projects from conception through deployment and ongoing maintenance
- Mentor team members, introduce relevant advanced technologies, and promote a culture of best practices in machine learning development
- Highly competitive compensation packages based on location and experience
- Comprehensive health, dental, and vision insurance plans
- Flexible remote work options aligned with our Flex First policy
- Equity grants for new hires and annual refresh grants to share in company success
- Paid time off and holidays to promote work-life balance
- Opportunities for professional growth and development within a fast-paced innovative environment
Instacart is committed to creating a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We encourage candidates of all backgrounds to apply and join our team dedicated to transforming the grocery industry through technology and innovation.
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