"recommendation engines" Jobs
2769 open tech roles matching “recommendation engines”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 2769 results
Join LangChain as a Research Engineer to enhance the capabilities of the LangSmith Engine for AI agents.
Build production ML systems to transform customer behavior into trusted signals for decision-making at Block.
Join Databricks as a Staff Engineer to build and scale next-generation Search products for AI applications.
Lead the organic growth strategy for SEO and AEO at Stripe, driving significant improvements in visibility and engagement.
Join Databricks as an AI Engineer to build AI-powered analytics agents and workflows for the go-to-market organization.
Join Profound as a GTM Engineer to build automated workflows that enhance customer engagement and success.
Join AirOps as a Senior AEO Strategy Lead to drive SEO and AEO strategies for enterprise customers.
Join Quora as a Senior Machine Learning Engineer to optimize ads ranking models and drive measurable advertiser value.
Join Lyft as a Machine Learning Engineer to develop AI agents that enhance safety and customer care for riders and drivers.
Join Thumbtack as a Staff Software Engineer to lead the development of AI/ML infrastructure for innovative home improvement solutions.
Lead the development of AI-native advertising strategies at a fast-growing startup focused on brand growth in the AI search era.
Join Thumbtack as a Staff Software Engineer to lead the development of AI/ML infrastructure for innovative home improvement solutions.
Join Faire as a Senior Applied AI/ML Scientist to drive retailer growth through innovative machine learning solutions.
Join Bloomreach as a Public Relations and Communications Specialist to enhance media visibility and thought leadership in the AI space.
Join Pinterest as a Machine Learning Engineer II to drive responsible AI initiatives and collaborate on innovative ML projects.