Sr. Machine Learning Engineer

Typeform; France; À distance; EUR 60 000 - 100 000; Plein temps

Résumé du poste

A leading form builder company is looking for a Machine Learning Engineer to design and implement scalable machine learning systems. You will focus on AI innovations and personalized user experiences, collaborating with diverse teams. Required is rich experience with Python, cloud services, and strong familiarity with ML frameworks. The role is fully remote and welcomes diverse applicants, ensuring inclusivity and equal opportunities.

Qualifications

• 4+ years of hands-on experience in building and deploying ML models in production environments.
• Strong proficiency in Python and popular ML Frameworks such as PyTorch and LangChain.
• Experience with cloud services, Kubernetes, and CI/CD pipelines.

Responsabilités

• Design, develop, and deploy scalable machine learning systems.
• Collaborate across teams to implement ML models and enhance AI capabilities.
• Develop solutions for real-time data processing using Kafka.

Connaissances

Python

ML Frameworks (PyTorch, LangChain)

AWS Cloud

Kubernetes

Docker

MLflow

Kafka

Vector databases

Outils

Jupyter Notebooks

FastAPI

DataDog

OpenSearch

Description du poste

Germany (Remote); Ireland (Remote); Netherlands (Remote); Portugal (Remote); Spain (Remote); United Kingdom (Remote)

Who we are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Spain, Portugal, or the Netherlands.

About the Team

At Typeform, the Data & Insights team’s charter is to make data actionable through multiple mediums—reports, dashboards, AI/ML‑models—that help us fuel growth and drive efficiencies within our business. Within that charter, our Data Science practice focuses on building cutting‑edge machine learning capabilities that help revolutionize how we leverage data and empower our customers to collect information in a conversational and personalized way.

About the Role

As a Machine Learning Engineer at Typeform, your mission is to design, develop, and deploy scalable machine learning systems that enable Typeform to deliver more personalized and impactful experiences. You will work closely with cross‑functional teams to implement ML models, build robust pipelines, and contribute to the innovation of our AI‑powered products, including leveraging LLMs and generative AI.

Things you’ll do

• Build and deploy scalable ML solutions: Design, train, and deploy machine learning models and workflows with a focus on production‑readiness, leveraging tools like Docker Containers, Kubernetes, MLflow, Kafka, and AWS Services.
• Leverage vector databases and streaming systems: Design and implement solutions with vector databases and Kafka to handle large‑scale, high‑dimensional, real‑time data processing for ML and AI pipelines.
• Standardize workflows: Use MLflow to manage the end‑to‑end ML lifecycle, including experiment tracking, model registry, and deployment.
• Automate and orchestrate: Use orchestration tools like Airflow to manage complex ML workflows and ensure seamless execution at scale.
• Optimize infrastructure: Design efficient ML pipelines and leverage cloud services like AWS to ensure reliable, scalable, and cost‑effective solutions.

Tasks Supporting (alongside Data Scientists)

• Develop cutting‑edge generative AI capabilities: Apply your expertise in LLMs and generative AI to enhance our products and build new AI features, enabling new and creative ways to interact with AI.
• Evaluate generative AI applications: Help R&D teams assess and refine AI features. Build automated evaluation pipelines for model performance. Develop benchmarks to ensure accuracy, fairness, and reliability.
• Collaborate across teams: Partner with Product, Engineering, Data Engineering, and Analytics teams to align ML initiatives with business objectives and optimize for maximum impact.
• Stay ahead of the curve: Keep up with emerging trends, research advancements, and best practices to drive innovation and enhance our AI capabilities.

What you already bring to the table

• 4+ years of hands‑on experience in building and deploying ML models in production environments.
• Strong proficiency in Python and popular ML Frameworks such as PyTorch, LangChain, Agents.
• Experience with AWS Cloud, Kubernetes, ArgoCD, Docker, Terraform, Jenkins and strong understanding of CI/CD pipelines for ML and model deployment best practices.
• Experience with monitoring ML models using Datadog and/or OpenSearch.
• Experience with building ML services using Python web frameworks such as FastAPI or stream processing libraries like Faust.
• Experience using tools like Jupyter Notebooks, AWS SageMaker, and AWS Bedrock.
• Hands‑on expertise with Kafka and vector databases.
• Experience managing ML lifecycle workflows with MLflow.
• Deep understanding of LLMs and generative AI, with experience applying them to solve business problems.
• Ability to collaborate with cross‑functional teams and communicate technical concepts to non‑technical stakeholders.
• Familiarity with Enterprise RAG Systems, including chunking, reranking techniques, etc.
• You have experience working in a B2B SaaS company.
• Experience with orchestration tools (e.g. Airflow).
• Familiarity with SQL, Spark, or other data processing frameworks.
• Knowledge of Snowflake or other cloud data warehouses.
• Strong familiarity with agentic frameworks for decision‑making systems.

We are proud to be an equal‑opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.

Legal Notice

Data will be processed by Typeform SL for purposes of assessing your application. You can access, rectify, or delete your data, or ask for the portability of said data. For more info, contact [e-mail] or [e-mail].

By checking this box, I agree to allow Typeform to retain my data for future opportunities for employment for up to 365 days after the conclusion of consideration of my current application for employment.