Senior Software Engineer – Data Search

🔥 40 minutes ago

🌐 France, Estonia, +4 more countries – Remote

🇫🇷 France – Remote 🇪🇪 Estonia – Remote 🇩🇪 Germany – Remote 🇳🇱 Netherlands – Remote 🇵🇱 Poland – Remote 🇨🇿 Czechia – Remote

💵 €100k - €130k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Modash

WebsiteLinkedInAll Job Openings

11 - 50 employees

👥 B2C

📣 Marketing

☁️ SaaS

B2C • Marketing • SaaS

Modash is a comprehensive influencer marketing platform that provides tools for discovering, analyzing, and managing influencer relationships. The company offers a range of features including influencer discovery, analytics, campaign tracking, and management. With Modash, brands can find targeted influencers across platforms like Instagram, TikTok, and YouTube, evaluate their audience demographics and performance metrics, and manage influencer campaigns effectively. Modash also offers seamless integration with Shopify, enabling brands to track promo codes and manage payments easily. The platform aims to simplify influencer marketing for consumer brands, helping them build powerful, data-driven influencer campaigns.

📋 Description

• Improve creator discovery across 400M+ profiles and billions of media files through retrieval, filtering, ranking, relevance, speed, and product decisions • Build systems that generate and use embeddings from images, video, text, and audio at massive scale • Evaluate models and technologies while balancing cost, latency, and quality • Move promising search approaches from experiments into reliable production systems • Shape problems, gather requirements, design architecture, write code, release features, measure outcomes, and iterate • Inspect retrieval and ranking stages to identify and fix relevance issues • Build and test multimodal embedding pipelines • Collaborate with Data Insights on datapoint definitions, coverage, and data-quality requirements • Test reranking models against real customer queries and assess relevance, latency, and inference cost • Review production metrics, investigate regressions, and determine whether fixes belong in models, data, query logic, or product • Collaborate with Data Core, Data Insights, product teams, customers, and company leadership • Participate in intro, coding, system design, team, and CEO culture/alignment interviews

🎯 Requirements

• Solid experience building large-scale data or backend products where volume, latency, reliability, and cost matter • Experience shipping products from concept to production, including scoping, architecture, implementation, release, measurement, and iteration • Experience designing distributed systems, including throughput, failure modes, data flow, scalability, and operational tradeoffs • Experience building LLM-powered or agentic features in production • Experience working autonomously on ambiguous problems • Ability to communicate technical tradeoffs clearly across engineering and non-engineering teams • Experience in a fast-moving product environment • Bonus: experience with multimodal embeddings, vector databases, semantic search, ranking algorithms, model deployment, self-hosted models, or GPU infrastructure • Curiosity about the creator economy is beneficial • Availability for some work-hour overlap with GMT+3 • Technical familiarity with AWS, GCP, Pulumi, Python, TypeScript, Node.js, PySpark, AWS EMR, Airflow, Milvus, Zilliz, Elasticsearch, LLM batch APIs, Apache Iceberg, SageMaker, DynamoDB, S3, Glue, Kinesis, Lambda, ECS, and Aurora

🏖️ Benefits

• Stock options • Flexible hours • Unlimited paid vacation • Personal development support, including courses, books, and conferences • Real ownership of difficult search problems from idea to production • Regular offsites • Fully remote work in Europe • Salary and stock option compensation package