Are you a seasoned backend engineer passionate about solving complex problems in search technology? At Fiverr, we’re at the forefront of redefining how the world works together, and we’re looking for a Tech Lead to guide and inspire our Search teams. As a technical leader, you’ll drive technical excellence, shape the vision for search architecture, and mentor a team dedicated to crafting scalable and intelligent solutions to improve Fiverr’s search algorithms.
The role is hybrid, in-office three days a week. The US base salary range for this full-time position is $190,000-$200,000. Our salary is to be determined by multiple factors including but not limited to relevant experience, knowledge, skills, locations and other job-related qualifications, and alignment with market data. In addition to salary, this position may be eligible for equity and benefits.
This is a full-time hybrid position and requires candidates to work from Fiverr's office 3 times a week.
As a Tech Lead, you will:
- Lead the design, development, and optimization of search features to enhance recall, relevance, and ranking quality.
- Architect and implement scalable, distributed systems leveraging technologies like Elasticsearch, Solr, Neural Information Retrieval, and Graph-based techniques.
- Drive the integration of machine learning models into the search ecosystem, enhancing capabilities such as intent understanding, ranking, and personalization.
- Mentor and grow team members, fostering a culture of technical innovation and collaboration.
- Design and develop data pipelines using tools like Kafka and MongoDB to support search functionalities.
- Analyze search performance metrics (e.g., nDCG, MRR), conduct A/B testing, and deliver actionable insights for continuous improvement.
- Serve as the technical authority in search technology, solving the most challenging problems and deconstructing complex business needs into actionable solutions.
Must-Have:
- BSc or MSc in Computer Science, Engineering, or equivalent.
- 5+ years of software development experience, with some focus on search, ads, or recommendation systems.
- Proven ability to apply ML frameworks in production to real-world problems.
- Proven expertise in information retrieval, natural language processing and ranking algorithms.
- Strong communication skills, with experience mentoring engineers and leading technical projects.
Preferred:
- Hands-on experience with search-specific tools (Elasticsearch, Solr, or Lucene).
- Practical experience with graph-based retrieval techniques
- Experience with A/B testing, experimental design, and metrics analysis related to ML models and search functionality.
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.
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