Founding Machine Learning Engineer, Domains Search

Who you are

You have a strong background in machine learning and natural language processing, with at least 5 years of experience in building scalable systems. Your expertise includes working with large language models and developing innovative search solutions that enhance user experience. You thrive in collaborative environments and are eager to shape a greenfield initiative, contributing to the technical direction of retrieval and ranking systems.

You possess a deep understanding of search and recommendation infrastructure, having designed and deployed hybrid search systems that balance relevance, latency, and scalability. Your experience includes leading technical projects and making data-driven decisions that impact millions of users. You are passionate about leveraging cutting-edge technologies to solve complex problems and improve customer experiences.

Desirable

Experience with generative AI and rule-based systems is a plus, as is familiarity with embedding model selection and optimization techniques. You are comfortable working in a fast-paced environment and are excited about the opportunity to influence the direction of a new product initiative.

What you'll do

As a founding Machine Learning Engineer on the Domains Search team, you will own key components of the search platform, focusing on retrieval or ranking. You will design, build, and deploy hybrid search systems that integrate classical machine learning with generative AI to create innovative domain name search experiences. Your role will involve leading the technical direction in areas such as index design, query parsing, and retrieval strategies, ensuring that the systems you build are efficient and effective.

You will collaborate closely with cross-functional teams, including product managers and engineers, to define the vision and roadmap for the search platform. Your contributions will directly impact how millions of customers discover their online identities, making your work both challenging and rewarding. You will also be responsible for embedding model selection, post-training optimization, and evaluation, ensuring that the models you develop meet high standards of performance and reliability.

What we offer

At Squarespace, you will be part of a small, high-impact team that values innovation and creativity. You will have the opportunity to shape the future of our search platform and work on projects that have a significant impact on our users. We offer a competitive salary and benefits package, along with a collaborative and inclusive work environment. Join us in building the next generation of intelligent search experiences that empower customers to find the perfect domain.