Senior Engineer; remote, Europe

Remote — Data Search Team — Full-time

Modash gives brands the tools to work with the right content creators and helps creators earn a living doing what they love. Behind the scenes,
we’re building the world‑class data platform that powers creator discovery for thousands of companies — and we’re looking for a hardened Senior Engineer to shape the direction of the creator economy.

We’re not a service function — Data Search & Data Insights are core product capabilities at Modash, building products for customers to use.
Data Search is a specialised team in Data Org, and you’ll own high‑impact projects end‑to‑end, from idea to launch.

Here’s a typical day:

• Start your day with a short stand‑up
• Heads‑down focus time to design, build, and optimise large‑scale data products tied to search systems
• Minimal meetings — maximum ownership
• Collaborating with data core, data insights, and other product teams to deliver impactful features
• Continuously improving search accuracy, speed, and scalability

You’ll be working on big, impactful projects like:

• Building a creator search engine indexing over 400 million influencer profiles and billions of media files
• Generating embeddings from images, videos, text, and audio at massive scale
• Creating systems for advanced filtering, ranking, and relevance scoring
• Deploying the latest ML models for semantic and vector search into production within weeks
• Designing indexing and querying pipelines to serve millions of requests with low latency
• Experimenting with how LLMs, multimodal embeddings, and vector databases can enhance search and recommendations

You won’t be patching pipelines — you’ll be creating production‑ready search products from scratch that directly impact customers.

At Modash, search is a joint effort within the Data Team. You’ll work closely with tightly aligned teams, including:

• Data Core – building large‑scale raw data collection systems that power every internal and customer‑facing product.
• Data Insights – building and operating the social media data products customers rely on, ensuring reliable, fresh, high‑quality access and a trusted intelligence layer.

We value autonomy, but we also love to work closely as a team — through pair programming, reviews, and shared wins. You’ll collaborate with the CEO, CTO, engineers, sales, and even customers to shape what we build. Everyone takes ownership, but nobody works in isolation.

We’re remote‑first, but we connect IRL at regular team offsites to collaborate, reflect, and have fun.

• AWS and GCP with Pulumi (IaC)
• Python, Typescript, and Node.js
• PySpark on AWS EMR for data processing
• Airflow for orchestration
• Elasticsearch
• Milvus Vector DB (Zilliz)
• LLM Batch APIs
• Apache Iceberg
• Sage Maker, Dynamo
  
  DB, S3, Glue, Kinesis, Lambda, ECS, Aurora
• Tools: Slack, Git Hub, Linear, Notion, Cursor

We move fast. You can get interviewed in under a week. The process consists of:

• Solid experience as a Data or Backend Engineer working with large‑scale data products
• Built 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 (Sage Maker, 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

• Have 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
• Are curious about the creator economy