Senior Engineer (remote, Europe)
About the role
About Modash
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.
What your day-to-day will look like
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.
- Start your day with a short standup
- 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
Projects you’ll work on
- Building a creator search engine indexing 400M+ 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 & recommendations
You won’t be patching pipelines — you’ll be creating production-ready search products from scratch that directly impact customers.
The Data Team
At Modash, search is a joint effort within the Data Team. You’ll work closely with tightly aligned teams, including Data Core and Data Insights. 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.
Our tech stack
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, SageMaker, DynamoDB, S3, Glue, Kinesis, Lambda, ECS, Aurora. Tools: Slack, GitHub, Linear, Notion, Cursor.
Interview process
We move fast. You can get interviewed in under a week. Process consists of:
- Intro chat
- Coding Interview
- System Design Interview
- Team Interview
- Culture & alignment call with the CEO Avery Schrader