Gorgias is hiring a
Machine Learning Engineer

Summary

Join our Machine Learning team at Gorgias, 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.

Requirements

• Technical Skills: You’re able to write object oriented software in Python. You’re familiar with Docker, pip-tools, and capable of maintaining a local development setup
• Breadth of knowledge: You are familiar with Machine Learning (NLP/LLM/HuggingFace/Math), software design (DDD), text-to-speech, speech-to-text, reinforcement learning and vision
• Communication: Excellent written and verbal communication skills in english, with the ability to articulate complex concepts to both technical and non-technical stakeholders
• Education: Masters degree in STEM ( science, technology, engineering and mathematics),. or a related field

Responsibilities

• Own the feedback, observability, and continuous training of the deployed solutions/models
• Work on Generative Agents, Recommender systems, and Knowledge graphs
• Solve product-facing problems with classical NLP and/or with LLMs
• Keep up with the relevant math and computer science state-of-the-art
• Build clear tech specs and implement solutions with domain-driven design that can scale and allow for fast, reliable, and trusted iterations
• Maintain our services (we use FastAPI) and cron jobs (we use Kubeflow)
• Own the development life cycle (Terraform permissions, test coverage of 80%, CI/CD, k8s, Datadog, PagerDuty)
• Collaborate in a cross-functional team: we are providing Machine Learning as a service within Gorgias
• Maintain the ML team data pipeline (we use BigQuery and DBT)
• Collaborate with data engineers, software engineers, and product managers to understand requirements and incorporate feedback
• Analyze the performances post-release and help identify a path toward improvements in the next iteration

Benefits

• $2k/month (Competitive salary & equity - 90th percentile worldwide)
• 1 paid day off per month
• 1 paid day of sick leave per quarter
• Lunch vouchers by Swile
• We provide a transportation stipend
• Hybrid Work Policy - 2 days (Wednesday & Thursday) mandatory attendance in Paris office