About The Position

Modash is seeking a hardened Senior Engineer to join their Data Search Team. This role is full-time and remote within Europe. The Senior Engineer will shape the direction of the creator economy by building world-class data platforms that power creator discovery. Data Search is a core product capability, and the engineer will own high-impact projects end-to-end, from idea to launch. Responsibilities include designing, building, and optimizing large-scale data products tied to search systems, collaborating with other product teams, and continuously improving search accuracy, speed, and scalability. Projects involve building a creator search engine, generating embeddings, creating systems for filtering and ranking, deploying ML models, and designing indexing and querying pipelines. The role emphasizes creating production-ready search products from scratch.

Requirements

  • Solid experience as a Data or Backend Engineer working with large scale data products.
  • Experience building full products from concept to production: scoping → architecture → implementation → release → iteration.
  • Strong system design skills and experience with large-scale, high-volume environments.
  • Hands-on experience building agentic / LLM-powered features in production.
  • Practical understanding of trade-offs between LLMs (cost, latency, capability).
  • Familiarity with AWS (SageMaker, Glue, Kinesis, SQS, Lambda, ECS).
  • Clear communication skills & collaborative mindset.
  • Autonomy in gathering requirements for complex projects.
  • Experience in fast-paced startup environments.
  • Based in Europe with some overlap with GMT+3.

Nice To Haves

  • Worked with multimodal embeddings (image, video, text, audio).
  • Experience with vector search, embeddings, semantic search, and ranking algorithms.
  • Hands-on AI/ML experience, ideally including deploying or self-hosting models and/or working with GPU infrastructure.
  • Care deeply about code quality and best practices.
  • Curious about the creator economy.

Responsibilities

  • Own high impact projects end-to-end, from idea to launch.
  • Design, build, and optimize large-scale data products tied to search systems.
  • Collaborate with data core, data insights, and other product teams to deliver impactful features.
  • Continuously improve search accuracy, speed, and scalability.
  • Build a creator search engine indexing 400M+ influencer profiles and billions of media files.
  • Generate embeddings from images, videos, text, and audio at massive scale.
  • Create systems for advanced filtering, ranking, and relevance scoring.
  • Deploy the latest ML models for semantic and vector search into production within weeks.
  • Design indexing and querying pipelines to serve millions of requests with low latency.
  • Experiment with how LLMs, multimodal embeddings, and vector databases can enhance search & recommendations.
  • Create production-ready search products from scratch that directly impact customers.

Benefits

  • Fully remote — work from anywhere in Europe
  • Unlimited paid vacation
  • Flexible hours — async-friendly culture
  • High ownership, low bureaucracy, no bullshit.
  • Personal development support — courses, books, or conferences on us
  • Regular offsites — connect with your team IRL
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