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Modash
Modash
11 – 50 Employees
B2CMarketingSaaS
Modash is a SaaS marketing company that helps consumer brands plan, measure, and manage influencer campaigns. Its platform supports influencer discovery across Instagram, TikTok, and YouTube, with tools for assessing audience demographics and performance, tracking campaigns, and managing creator relationships. Shopify integration helps brands connect promotional codes with campaign activity and streamline payment management. The team builds software for making influencer marketing more targeted, measurable, and easier to operate.
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Senior Data Search Software Engineer at Modash (France Remote)

Lead improvements to retrieval, embeddings, ranking, and relevance across Modash’s creator-discovery platform. Build search infrastructure at scale for brands managing influencer partnerships.

CZCzechiaDEGermanyEEEstoniaFRFranceNLNetherlandsPLPoland
€100,000 – €130,000 / year
RemoteFull-timeSeniorEnglish RequiredData Engineer
AirflowApacheAWSDistributed SystemsDynamoDBElasticSearchGoogle Cloud PlatformJavaScriptNode.jsPySparkPythonTypeScript

Description

  • Advance creator discovery across more than 400 million profiles and billions of media files by improving retrieval, filtering, ranking, relevance, performance, and product decisions.
  • Develop large-scale systems that create and apply embeddings for images, video, text, and audio.
  • Assess models and technologies by weighing quality against latency and infrastructure cost.
  • Turn successful search experiments into dependable production systems.
  • Define problems, gather requirements, design architecture, implement and release features, measure results, and iterate.
  • Analyze retrieval and ranking stages to diagnose and resolve relevance problems.
  • Create and validate multimodal embedding pipelines.
  • Work with Data Insights to define datapoints, assess coverage, and establish data-quality needs.
  • Evaluate reranking models using real customer queries, measuring relevance, latency, and inference cost.
  • Monitor production metrics, investigate regressions, and decide whether corrective action belongs in models, data, query logic, or product design.
  • Partner with Data Core, Data Insights, product teams, customers, and company leadership.
  • Take part in introductory, coding, system-design, team, and CEO culture and alignment interviews.

Requirements

  • Substantial experience building large-scale data or backend products where volume, latency, reliability, and cost are central concerns.
  • A track record of taking products from initial concept through scoping, architecture, implementation, release, measurement, and iteration.
  • Experience designing distributed systems with attention to throughput, failure modes, data flow, scalability, and operational tradeoffs.
  • Production experience delivering LLM-powered or agentic capabilities.
  • Ability to work independently on unclear or evolving problems.
  • Strong communication skills for explaining technical tradeoffs to engineering and non-engineering stakeholders.
  • Experience working in a fast-paced product organization.
  • Multimodal embeddings, vector databases, semantic search, ranking algorithms, model deployment, self-hosted models, or GPU infrastructure experience is a plus.
  • Interest in the creator economy is helpful.
  • Availability to overlap with GMT+3 working hours when needed.
  • 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

  • Eligibility for stock options.
  • Flexible working hours.
  • Unlimited paid vacation.
  • Support for professional development through courses, books, and conferences.
  • End-to-end ownership of challenging search problems, from initial idea through production.
  • Regular company offsites.
  • Fully remote work within Europe.
  • Compensation package combining salary and stock options.

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