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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in search relevance and recommendation systems, with a strong focus on retrieval, ranking, and query understanding. Proven ability to improve discovery metrics and maintain high-quality categorization in a growing catalog.
Highest-signal resume keywords
Search Relevance OwnershipRecommendation System TuningA/B Testing and Metrics EvaluationBackend Development in TypeScript/Node.jsCategory Taxonomy Evolution
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Search RelevanceRecommendation SystemsRanking FunctionsQuery UnderstandingFiltering and SortingA/B TestingCategory TaxonomyData PipelinesTypeScriptNode.js
Tools & Technologies
RecombeeLLMsEmbeddingsHybrid Lexical and Vector RetrievalReact
Industry Keywords
E-commerceMarketplaceContent PlatformDiscovery QualityCatalog Growth
Tech Stack
Tools & technologiesJavaScriptNode.jsReactTypeScript
About the role
Key responsibilities & impact- Own Store search relevance end to end, including retrieval, ranking, and query understanding
- Identify shortcomings in the current search setup and prioritize improvements
- Tune Recombee scenarios, business rules, and signals for relevant recommendations
- Improve LLM-based evaluations, relevance metrics, and A/B testing
- Maintain discovery quality as the Actor catalog grows
- Evolve the Actor category taxonomy and classification system powering Store filtering
- Improve retrieval and query understanding for AI-agent discovery
- Shape technical direction and build team expertise in search and recommendations
- Audit current search, recommendations, and categorization and present risks and opportunities
- Ship relevance or recommendation improvements validated by A/B tests
- Debug and ship changes across the Store frontend, ranking services, Recombee, and data pipelines
- Improve core discovery metrics such as search success, first Actor run, activation, and first-week retention
- Deliver production upgrades to retrieval, filtering, ranking, and category taxonomy
Requirements
What you’ll need- 4+ years of software engineering experience
- 2+ years owning search or recommendation relevance in production at a marketplace, e-commerce, or content platform
- Hands-on experience with ranking functions, query understanding, filtering, and sorting
- Experience configuring and tuning recommendation systems, including cold-start and sparse-data problems
- Experience evolving category taxonomies and classification for a large, growing catalog
- Experience measuring relevance with metrics, evaluations, and A/B tests
- Strong backend skills in TypeScript/Node.js for production services and data pipelines
- Experience with embeddings, hybrid lexical and vector retrieval, and LLMs is a nice-to-have
- Enough React/TypeScript to ship Store search and listing page changes is a nice-to-have
- Ability to explain ranking trade-offs and translate user discovery goals into measurable goals is a nice-to-have
Benefits
Comp & perks- Option to work remotely
- Flexible working hours
- Nobody counts holidays as long as the work gets done
- Unlimited Claude for every Apifier
- Stock options and profit sharing
- Free Apify credits for friends and family
- Free Multisport card
- Regular massages in the office, mostly covered by Apify
- Pets, kids, and bikes welcome at the office
- Epic team buildings and offsites
- Education and training budget
- Conference tickets
- Internal "Eat & Learn" sessions
- Possibility to work across teams
- Generous hardware budget
- Free lunches every day when working from the office
- Unlimited coffee, beer, and snacks
- Free entry to Prague Zoo
- Ping-pong, chess, PS5, and foosball league
- OS, code editor, and AI assistant of your choice
- Full-time position at Apify's Prague office