JOB POSTING

Search Engineer

Join the Engineering team helping to shape the future of AI-powered shopping experiences across our global software platforms.

About Us:

Our team is small, highly motivated, and focused on product excellence. Our organization is for individuals who appreciate challenging themselves and who thrive on curiosity and continuous development. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are essential. All team members are expected to have excellent communication skills and the ability to work both independently and collaboratively across our organization and customer base.

Our Mission:

Our mission is to create intelligent shopping experiences to delight customers globally. Rebuy is a fully remote company and is trusted by some of the fastest-growing brands in DTC such as Aviator Nation, Liquid Death, Magic Spoon, Blenders, Primal Kitchen, and many more. We value ownership, self-motivation, and empathy. Each team member plays a significant role in the company and is helping to shape the future of intelligent commerce. We build strong and lasting partnerships with all of our merchants and partners, provide a safe and fun work environment, and truly love what we do.

This Role:

We are seeking a Search Relevance Engineer to enhance and maintain our Smart Search and Conversational AI products as part of our Smart Search team. This role involves leveraging advanced search technologies and machine learning to develop and optimize our search functionalities. Senior team members significantly influence our technical direction and AI strategy, drawing on their deep understanding of search technologies and machine learning, as well as their practical knowledge of our production systems and codebase.

What You’ll Do:

• Develop and manage e-commerce search microservices for Rebuy Engine’s Smart Search platform.
• Engineer state-of-the-art workflows for Search and Autocomplete APIs.
• Design and implement custom ranking and re-ranking algorithms tailored for Smart Search.
• Develop and refine our Hybrid Search system, which integrates lexical and semantic search capabilities.
• Evaluate and fine-tune Elastic/Cohere models used for generating search embeddings.
• Assess the quality and relevance of the embeddings produced by these models.
• Apply NLP techniques to analyze and interpret query context.
• Conduct detailed analysis of search result quality to ensure relevance alignment with queries.
• Establish alerting systems and thresholds for monitoring search engine performance.

What You’ll Need:

• Degree in Computer Science, Engineering, or a related field, or equivalent work experience.
• Minimum of 3+ years of experience in deploying production-level search systems.
• Proven experience in applying machine learning techniques to search and recommendation systems.
• Proficiency in the Go programming language and/or hands-on experience with other languages i.e. Python, Rust, TS
• Deep understanding of Elasticsearch: Strong grasp of core concepts like indexing, search algorithms, query syntax (including DSL), analyzers, tokenizers, and mappings.
• Strong knowledge of both lexical (text) search and vector search technologies.
• Commitment to staying current with the latest research and trends in machine learning.
• Excellent communication and listening skills.
• Demonstrated ability to manage time effectively and organize work independently.
• Capacity to collaborate effectively with both internal and external stakeholders.

Nice to Have:

• AI Engineering tools/frameworks like Cursor, LangGraph, LLM APIs
• Experience in generating embeddings using machine learning models.
• Experience in evaluating search quality using Key Performance Indicators
• Familiarity with DevOps tools such as Kubernetes and Docker.
• Ability to clearly articulate project details, including project mechanics and their impact on organizational challenges.

Interview Process

After you submit your application, our team will review your resume. If you’re everything we are looking for, you will be invited to a 30-minute phone interview where a team member will dive a little deeper into your experience but also give you a little more info on what it’s like to work with us. If you pass this phone interview, you will proceed to the next set of interviews, which will include:

• Meeting with the Hiring Manager
• Small Project
• Panel interview with future team members
• Short final interview with the CEO and COO

Benefits:

Rebuy is a fully remote company and we provide our employees with everything they need to succeed both professionally and personally.

• 100% free health, dental, and vision insurance for you and your family
• Flexible vacation, paid holidays, parental leave, and sick leave policies
• 401(k) retirement plan
• Company contributes 3% of your salary as a 401(k) bonus (no vesting)
• Amazing team of highly talented and driven people, redefining intelligent commerce