Senior Data Search Engineer – Vector & Multimodal

Lever, Inc.; Schweiz; À distance; CHF 93 000 - 121 000; Plein temps

Avantages offerts par ce poste

Stock options

Fully remote in Europe

Unlimited paid vacation

Stock options

Résumé du poste

Lever, Inc. is seeking a Senior Software Engineer – Data Search based in Switzerland to build a large-scale creator search experience used by thousands of businesses worldwide.

You will tackle end-to-end search stack development, from data pipelines to low-latency serving, with multimodal embeddings and vector search. You will own projects from discovery to production, collaborating with data, product, engineering, customers, and leadership in a fast-moving, async-first environment.

Qualifications

• > Proven experience building large-scale data, backend, or search-oriented products where volume, latency, reliability, scalability, and cost are important considerations.
• > Demonstrated ability to take products or substantial technical initiatives from concept through architecture, implementation, production release, measurement, and iteration.
• > Strong experience designing and working with distributed systems, including understanding throughput, data flows, scalability, failure modes, reliability, and operational tradeoffs.
• > Professional experience building LLM-powered or agentic features in production, with a practical understanding of model capabilities, limitations, latency, and cost.
• > Strong problem-solving skills and the ability to work autonomously on ambiguous problems, gather missing context, ask effective questions, and turn uncertainty into action.
• > Excellent communication and collaboration skills, with the ability to explain complex technical concepts and tradeoffs clearly to both technical and non-technical stakeholders.
• > Experience working in fast-moving product environments where teams ship incrementally, learn from data, and adapt quickly to changing priorities.
• > Strong programming skills and comfort working with technologies such as Python, TypeScript, or Node.js.
• > Experience with cloud infrastructure and modern data platforms is highly valuable, particularly AWS or GCP.
• > Experience with technologies such as Elasticsearch, vector databases, distributed data processing, data orchestration, or infrastructure as code is advantageous.
• > Bonus experience includes multimodal embeddings, semantic search, ranking algorithms, model deployment, self-hosted models, GPU infrastructure, or vector search technologies.

Responsabilités

• Improve creator discovery across hundreds of millions of profiles and billions of media files by enhancing retrieval, filtering, ranking, relevance, performance, and the overall search experience.
• Design and build systems that generate and leverage multimodal embeddings from images, video, text, and audio at large scale.
• Develop new search capabilities and take promising ideas from experimentation to reliable production systems, balancing search quality, latency, scalability, and cost.
• Own technical problems end to end, including understanding customer needs, gathering requirements, defining solutions, designing architecture, writing code, launching features, measuring outcomes, and iterating based on evidence.
• Diagnose and resolve relevance and performance issues across data, query logic, retrieval, ranking, models, and product decisions.
• Evaluate new models and technologies pragmatically, understanding their tradeoffs and identifying where they can create meaningful improvements to the search experience.
• Work closely with data and product teams to introduce new datasets, datapoints, and search capabilities while ensuring appropriate coverage and data quality.
• Contribute to technical direction and system architecture while maintaining reliable, scalable, and maintainable production services.
• Share findings, technical insights, and learnings with colleagues and contribute to a culture of strong engineering practices and continuous improvement.

Connaissances

Distributed systems

Python

TypeScript

Node.js

LLM-powered features

Cloud infrastructure (AWS/GCP)

Elasticsearch

Vector search

Multimodal embeddings

Data pipelines

Outils

Milvus/Zilliz

Spark / PySpark

Description du poste

Lever, Inc. is seeking a Senior Software Engineer – Data Search based in Switzerland to build a large-scale creator search experience used by thousands of businesses worldwide.

You will tackle end-to-end search stack development, from data pipelines to low-latency serving, with multimodal embeddings and vector search. You will own projects from discovery to production, collaborating with data, product, engineering, customers, and leadership in a fast-moving, async-first environment.