Machine Learning Engineer

📋 Job Overview

We believe conversations will become the #1 way to shop. At Gorgias, we’re building the platform that makes this real: a unified AI agent that sells, supports, and re-engages customers across the entire journey. Conversational Commerce is the future of ecommerce, and we’re leading that shift.

🏢 About Gorgias

Our mission is to turn every interaction between a brand and its customers into a relationship: personal, seamless, and intelligent. By combining deep product expertise with the latest in AI, we’re making shopping feel more natural, human, and connected than ever before.

🎯 The Role

Join our Machine Learning team, where we’re transforming the ecommerce landscape by automating interactions between merchants and shoppers. Our mission is to make these experiences effortless for everyone involved.

✅ Key Responsibilities

• Own feedback loops, observability, and continuous training for deployed systems and models (Hugging Face, Vertex AI, multiple LLM providers)
• Work on agentic LLM systems, retrieval-augmented generation (RAG), and NLP classifiers.
• Solve product-facing problems using classical NLP and/or LLMs.
• Maintain the ML team's data pipeline (BigQuery, dbt)
• Write clear technical specifications and implement scalable solutions using domain-driven design, enabling fast, reliable, and safe iterations.
• Maintain our existing services.
• Own the development lifecycle.
• Collaborate in a cross-functional team to provide machine learning as a service within Gorgias.
• Collaborate with data engineers, software engineers, and product managers to understand requirements and incorporate feedback.
• Analyze post-release performance and identify improvements for next iterations.

📌 Required Qualifications

• Experience: 5+ years of experience and a proven track record in machine learning and software development, with hands-on experience building and operating LLM applications, RAG systems, agentic workflows, and NLP classifiers.
• Technical skills: Proficiency in Python, modern machine learning and software engineering tools and frameworks. Familiarity with GCP is a plus.
• Communication: Excellent written and verbal communication skills in English, with the ability to articulate complex concepts to both technical and non-technical stakeholders.
• Education: Master's degree in a STEM field (science, technology, engineering, or mathematics) or a related field.

🎁 Benefits

• 💰 Competitive salary & equity (90th percentile worldwide, go check our public salary calculator)
• 🏖️ 5-week vacation plus 2 weeks RTT (We follow each country's appropriate PTO Laws)
• 🤕 Paid sick leave
• 🧸 Paid parental leave (16 weeks)
• 💻 MacBook Pro
• 🍽️ Personal credit card to buy lunches (we use Swile)
• 🏥 We provide private health insurance (we use GAN)
• 💆🏻‍♀️ Get up to €700 to set up your workstation at home (working from home should feel breezy)
• 📚 Get up to €2000 of learning material and wellness support per year! This includes €1500 for learning material (such as books, courses, and individual coaching sessions) directly linked to your job scope, as well as a €500 wellness budget. Take advantage of these resources to grow in your role and prioritize your personal development and wellness.
• 🥰 Every quarter, we organize an online company-wide summit to discuss where we’re going and strengthen social bonds. Once per year we organize offsite team retreats and company retreats!

🛂 Visa & Eligibility

Not specified