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Scrunch

Scrunch

scrunch.com

2 Jobs

34 Employees

About the Company

Scrunch is the key into the AI-first customer journey: Monitor brand presence. Get actionable insights to grow it. Generate an AI-friendly version of your site to influence LLM results.

Listed Jobs

Company background Company brand
Company Name
Scrunch
Job Title
Senior Software Engineer, Core App (US)
Job Description
**Job Title:** Senior Software Engineer **Role Summary:** High-ownership generalist to design, develop, and deliver full-stack features end-to-end for a core application. Requires strong product awareness, technical expertise, and collaboration with design and product teams. **Expectations:** Candidates must have experience in high-velocity software development environments, proficient in full-stack application development cycles, and capable of autonomous design and implementation of user-facing features and backend systems. **Key Responsibilities:** - Design and ship end-to-end features across DevOps, backend APIs, and user interfaces. - Build and maintain high-quality REST APIs in Python, TypeScript, or Go. - Implement application database solutions using relational databases and framework stacks (e.g., SQLAlchemy, ActiveRecord). - Author SQL queries for data joins, aggregations, and optimization. - Write unit tests and develop testable systems. - Manage DevOps tasks including CI/CD pipelines, error monitoring, and observability tools. **Required Skills:** - Full-stack web application development (backend/frontend). - Proficiency in REST API design and implementation. - Strong relational database and SQL expertise. - Hands-on experience with application-style ORM frameworks. - DevOps capabilities (CI/CD pipelines, monitoring tools). - Unit test development and testability design. **Required Education & Certifications:** N/A
United states
Remote
Senior
10-11-2025
Company background Company brand
Company Name
Scrunch
Job Title
Data Scientist
Job Description
Job title: Data Scientist Role Summary: Develop, evaluate, and deploy machine‑learning models that drive AI‑augmented information retrieval, ranking, and semantic web solutions. Collaborate with engineering, product, and marketing to translate ambiguous problems into measurable experiments and actionable insights. Expactations: - Own model lifecycle from prototype to production, ensuring robust performance and scalability. - Lead end‑to‑end experimentation, hypothesis testing, and impact measurement across offline and online metrics. - Translate technical outcomes into clear narratives for stakeholders and external audiences. Key Responsibilities: - Design and productionize retrieval, ranking, and relevance algorithms for web and AI‑assisted surfaces. - Build and evaluate NLP pipelines (classification, entity extraction, topic modeling, sentiment analysis). - Develop simulation and forecasting frameworks to test policies and stress‑test system behavior. - Contribute to knowledge graph and semantic web initiatives (schema design, entity resolution, downstream ML/GenAI). - Craft and present concise technical reports, trade‑off analyses, and strategic recommendations. Required Skills: - Strong statistical foundations, experimental design, and model evaluation expertise. - Hands‑on experience in information retrieval/ranking/relevance, preferably in AI‑augmented contexts. - Proven ability to build and assess production‑grade NLP models. - Proficiency in Python and SQL; familiarity with PyTorch, Hugging Face, vector databases. - Comfortable with web‑scale data (crawl/index realities), noisy labels, long‑tailed queries, and sampling‑aware bias mitigation. - Excellent communication and stakeholder‑management skills. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. - Relevant certifications in machine learning or data analytics are a plus.
New york, United states
Hybrid
28-01-2026