Typeform is a refreshingly different form builder that helps businesses collect data with forms, surveys, and quizzes. As a Machine Learning Engineer, your mission will be to design, develop, and deploy scalable machine learning systems that enable Typeform to deliver more personalized and impactful experiences.
Requirements
- 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.
Benefits
- Competitive salary
- Equity
- Flexible working hours
- Remote work
- Opportunities for professional growth and development