YOUR IMPACT

Join our growing technology team and pioneer cutting-edge projects to shape the future of retail technology through AI/ML innovation. You’ll collaborate cross-functionally with high-performing teams across the organization to develop the product vision, enhance customer experiences, drive product execution, influence advocacy, and deliver data-driven insights for informed decision-making as a Senior AI Engineer on the Visual Commerce team.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in science, technology, engineering, math, or relevant field (or equivalent work experience in lieu of degree) and 2 years of experience executing and deploying data science, ML, and DL (fewer years may be accepted with a Master’s or Doctorate degree)
• 1 year of programming language experience
• 1 year of experience working with ML Operations tools

PREFERRED SKILLS/EDUCATION

• Master’s degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics
• 1 year of experience working with cross-functional partners
• 1 year of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI

• Product Vision: Drive the development of product vision and strategy using data and insights to identify opportunities for innovation and growth.
• Customer Experience: Apply advanced analytics techniques to understand customer behavior, preferences, and needs, driving initiatives to enhance the overall customer experience.
• Project Execution: Lead the end-to-end execution of data science projects, deploy machine learning models to google cloud, do performance testing and tuning for deep learning models ensuring high-quality deliverables within timelines.
• Advocacy and Insights: Collaborate with stakeholders to advocate for data-driven decision-making and analyze large-scale datasets to generate actionable insights for operational efficiency, revenue growth, and customer satisfaction.
• Machine Learning and Computer Vision: Utilize TensorFlow, PyTorch, and OpenCV to develop high-performance applications and implement algorithms for object detection, image classification, depth estimation, generative AI, and image segmentation.