Loop Earplugs

www.loopearplugs.com

4 Jobs

289 Employees

About the Company

Our story began when Loop's founders, Maarten and Dimitri, had a common problem: ringing ears after a night out. They discovered that they were not alone, as 1 in 4 adults suffer from hearing damage. But why weren't they wearing earplugs? This question sparked the inception of Loop.

At Loop, we are dedicated to revolutionizing the way earplugs look, feel, and sound. Whether you need hearing protection or simply want to ensure comfort for your ears, Loop allows you to live life at your own volume.

Based in Antwerp with offices in Amsterdam, New York, and Shanghai, we are a rapidly growing team of over 250 people. .

Listed Jobs

Company Name: Loop Earplugs
Job Title: Template - Inner Circle
Job Description: Job title: Inner Circle Role Summary: Collaborative position focused on contributing to product innovation and growth within Loop's earplug solutions. Expectations: Own projects and initiatives, bring new ideas to the table, work autonomously, and drive measurable impact on the company. Key Responsibilities: Not specified in the description. Required Skills: Excellent communication, teamwork, strong self‑motivation, creative and analytical problem‑solving, ability to work independently and adapt to a fast‑moving environment. Required Education & Certifications: Not specified.

Antwerp, Belgium

Hybrid

28-11-2025

Company Name: Loop Earplugs
Job Title: Internship Supply Chain
Job Description: **Job Title:** Internship – Supply Chain **Role Summary:** A six‑month, full‑time internship focused on supporting the Senior Global Logistics Manager in Antwerp. Interns will analyze 3PL performance, carrier billing, customer feedback, and operational requests to improve delivery efficiency and customer satisfaction for a fast‑growing consumer brand. **Expectations:** - Demonstrate curiosity, analytical thinking, and a detail‑oriented mindset. - Communicate clearly and collaborate across cross‑functional teams (logistics, customer happiness, growth). - Adapt quickly to a fast‑paced, international environment and proactively contribute to projects. **Key Responsibilities:** - Monitor and evaluate 3PL performance across multiple locations; review orders, systems, and shipment tracking. - Verify and analyze carrier invoices, identifying discrepancies for accurate billing. - Examine customer service tickets to spot recurring issues and regional trends, converting insights into actionable improvements. - Support ad‑hoc operational requests (B2B shipments, retail logistics, fulfillment optimisations). - Collaborate with logistics, customer happiness, and growth teams to enhance the overall customer experience. - Maintain quality standards by cross‑checking operations against customer happiness benchmarks. - Coordinate internal workflows to keep the team on track and manage workforce efficiency. - Translate campaign information into clear updates for external partners. - Assist with escalations from the customer happiness team to ensure timely resolution across departments. **Required Skills:** - Strong analytical skills with proficiency in data interpretation. - Attention to detail and ability to uncover patterns from complex data sets. - Effective written and verbal communication. - Proactive, self‑motivated, and comfortable working across tools, teams, and time zones. **Required Education & Certifications:** - Current enrolment in an undergraduate or postgraduate program (or recent graduate). - No specific certifications required; coursework in supply chain, logistics, data analysis, or related fields is advantageous.

Antwerp, Belgium

Hybrid

11-01-2026

Company Name: Loop Earplugs
Job Title: Senior Data Engineer I
Job Description: Job Title: Senior Data Engineer I Role Summary: Own and scale cloud‑native data pipelines and infrastructure within GCP/Azure, ensuring high reliability, security, and cost efficiency. Collaborate with cross‑functional teams to deliver actionable data for analytics and AI. Lead architectural decisions, define engineering standards, and mentor peers. Expectations: - Deliver end‑to‑end ETL/ELT pipelines that enable real‑time data accessibility. - Maintain data platform performance, governance, and compliance across multiple regions. - Drive automation, observability, and DevOps practices for rapid deployment and scaling. Key Responsibilities: - Design, develop, and maintain Python‑based ETL/ELT pipelines; leverage dltHub and DBT for transformation and testing. - Optimize Snowflake data models, storage, and query performance. - Implement Dagster workflows for reliable orchestration and monitor job health. - Architect and manage GCP/Azure cloud resources (compute, storage, IAM, networking) with IaC (Terraform). - Build CI/CD pipelines using Docker, Kubernetes, and GitHub Actions; enforce DevOps best practices. - Configure monitoring and observability tools (Grafana, ELK) to ensure uptime and cost control. - Collaborate with AI Engineers, Data Analysts, and business stakeholders to align data solutions with strategic objectives. - Establish engineering standards, document best practices, and mentor junior engineers. - Participate in knowledge‑sharing initiatives to advance data literacy across the organization. Required Skills: - 5+ years of experience building secure, scalable cloud data infrastructure. - Proficient in Python and SQL for data manipulation, automation, and orchestration. - Hands‑on experience with Snowflake (modeling, tuning, integration). - Strong CloudOps expertise on GCP and/or Azure (compute, storage, IAM, networking). - Proven use of DBT for transformations, testing, and documentation. - Familiarity with workflow orchestration tools such as Dagster. - Experience implementing IaC with Terraform. - Knowledge of DevOps pipelines (Docker, Kubernetes, GitHub Actions, CI/CD). - Experience with monitoring/observability stacks (Grafana, ELK). - Excellent communication and collaboration across technical and non‑technical teams. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (preferred). - Relevant certifications (e.g., GCP Professional Data Engineer, Azure Data Engineer Associate, Snowflake SnowPro Core) are a plus.

Company Name: Loop Earplugs
Job Title: Senior AI Engineer I
Job Description: Job title: Senior AI Engineer I Role Summary: Design, develop, and deploy production‑ready AI solutions that automate workflows and accelerate decision‑making across business units. Own projects from ideation to launch, integrating NLP, LLMs, and automation into internal systems. Expectations: - Deliver end‑to‑end AI products with measurable business impact (automation hours saved, adoption rates). - Exercise full technical ownership: scope, architecture, coding, testing, deployment, and monitoring. - Stay current with AI trends and recommend tools/approaches that improve capability. - Mentor peers, set engineering standards, and champion experimentation. Key Responsibilities: 1. Build AI-driven software to solve business challenges using NLP, ML, and automation. 2. Develop and deploy applications (Streamlit, Gradio, FastAPI) for internal use. 3. Create custom integrations via APIs/webhooks to connect AI outputs with internal systems. 4. Fine‑tune large language models for specific business contexts. 5. Own projects end‑to‑end: opportunity identification, scoping, technical design, delivery, and outcome measurement. 6. Recommend and evaluate emerging AI technologies (RAG, agentic workflows, multi‑modal systems, etc.). 7. Implement and maintain CI/CD pipelines (Docker, Kubernetes, GitHub Actions). 8. Deploy models on major cloud platforms (Azure or GCP) and ensure operational stability (MLOps). Required Skills: - 5+ years building AI/ML algorithms and solutions. - Proficient in Python, PyTorch, scikit‑learn, and other ML frameworks. - Strong NLP experience; LLM fine‑tuning and deployment. - Data preprocessing, feature engineering, model evaluation. - Familiarity with GenAI concepts (RAG, agentic workflows, tool‑use, function calling, multi‑modal). - DevOps: CI/CD, Docker, Kubernetes, GitHub Actions. - Cloud deployment (Azure or GCP). - MLOps: monitoring, scaling, optimizing models. - Excellent communication and stakeholder collaboration. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. No specific certifications mandatory, though knowledge of cloud or ML certifications is a plus.