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Senior Software Engineer – Data Search
Modash. Improve creator discovery across 400M+ profiles and billions of media files through retrieval, filtering, ranking, relevance, speed, and product decisions .
Posted 10/3/2026full-timeRemote • France, Estonia, Germany, Netherlands, Poland, CzechiaSenior💰 €100,000 - €130,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building large-scale data systems and backend products, with a focus on multimodal embeddings and distributed systems. Proficient in evaluating models and technologies while ensuring reliability, cost-effectiveness, and performance in production environments.
Highest-signal resume keywords
Large-Scale Data SystemsMultimodal EmbeddingsDistributed Systems DesignProduct Development LifecycleTechnical Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Model EvaluationSystem ArchitectureData Flow DesignScalabilityOperational TradeoffsLLM-Powered FeaturesSemantic SearchRanking AlgorithmsModel DeploymentAutonomous Problem Solving
Soft Skills
CuriosityCollaborationCommunication
Tools & Technologies
AWSGCPPythonTypeScriptNode.jsPySparkElasticsearchSageMakerDynamoDBAirflow
Industry Keywords
Creator EconomyData QualityRetrievalRankingProduct Decisions
Tech Stack
Tools & technologiesAirflowApacheAWSDistributed SystemsDynamoDBElasticSearchGoogle Cloud PlatformJavaScriptNode.jsPySparkPythonTypeScript
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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