machine learning engineer for hearing products

Loop develops products focused on helping people manage sound and hearing experiences. Its AI initiatives support teams in decision-making, asset creation, customer understanding, and operational efficiency.

• Build and maintain AI-powered applications across frontend, backend, data, models, and infrastructure;
• Turn experimental tools and prototypes into secure, scalable, and maintainable production systems;
• Develop intuitive user experiences using React and modern frontend technologies;
• Build backend services, APIs, and workflows using Python and frameworks such as FastAPI, Firebase, Streamlit, or similar technologies;
• Design and implement AI solutions using NLP, machine learning, LLMs, RAG, tool use, agentic workflows, and multimodal systems;
• Create integrations through APIs and webhooks, connecting AI products with Loop's internal platforms and workflows;
• Build reliable data foundations using PostgreSQL, Supabase, or comparable technologies;
• Set up and manage cloud infrastructure, deployments, CI/CD pipelines, monitoring, and observability;
• Apply DevOps and software engineering practices to monitor, improve, and scale systems in production;
• Ensure applications meet appropriate security, privacy, and data-handling standards;
• Identify performance bottlenecks and improve system scalability, stability, and reliability;
• Partner with Product and stakeholders to define problems, challenge assumptions, and agree on measurable success criteria;
• Define technical standards and improve software development practices across Loop;
• Own end-to-end development of AI-powered products from opportunity identification and technical scoping through deployment, adoption, and continuous improvement;
• Translate complex stakeholder needs into focused, scalable solutions with clear business value;
• Provide prototypes with the architecture, reliability, security, and usability required for production.

• 5+ Years of experience in software engineering, including strong hands-on full-stack product development;
• Production experience building and deploying AI- or machine-learning-powered applications;
• Advanced proficiency in Python and experience with FastAPI, PyTorch, and scikit-learn;
• Strong experience with React and modern frontend development;
• Hands-on experience with LLMs, RAG, agentic workflows, tool use, and multi-agent systems;
• Experience with model evaluation, data preprocessing, performance optimization, and production monitoring;
• Solid understanding of system design, software architecture, APIs, databases, and scalable application development;
• Experience with PostgreSQL, Supabase, Firebase, or comparable data platforms;
• Hands-on experience with cloud infrastructure, Docker, CI/CD, and infrastructure-as-code tools such as Terraform;
• Ability to independently deliver end-to-end solutions across frontend, backend, AI, data, and infrastructure;
• Pragmatic mindset, balancing technical ambition with usability, speed, and measurable business value;
• Takes ownership, makes technical decisions independently, and connects AI capabilities to practical, measurable outcomes;
• Nice to have: Experience with Kubernetes and cloud platforms such as Azure or Google Cloud, a degree in Computer Science or a related technical field.

• Compensation Range: €70K - €90K;
• Application Window: 24 July - 24 August; applications are only accepted during this window;
• Target Start Date: 1 October.