About the Role
Every month, tens of millions of people respond to surveys, fill check-out forms, inquire about products and plan work with Typeform.
We want to make this experience seamless, effortless, intuitive and adaptive to each respondent, and Machine Learning (ML) is a crucial pillar to achieve this purpose.
That’s where you come in. We’re looking for Senior ML Specialists to tackle complex problems collaboratively.
You will team up with our ML Engineers, Data Scientists and Data Engineers to design scalable state-of-the-art ML models behind some of the key product features, as well as models that power our marketing and customer success campaigns.
You will be involved in all steps of the models’ lifecycles, and ensure that we balance end-to-end product delivery and maintenance, perform exploratory investigations for existing model improvements and new model development.
The critical areas of exploration and development include :
Supervised and unsupervised ML modeling (regression and classification modeling, clustering, etc.).
NLP models that can help guide our customers to write better questions and increase completion rates for their forms and surveys, as well as better understand the responses they receive.
Recommendation / Relevance models that help our customers to get more value from Typeform. Our goal is to help our customers discover more features and applications of Typeform in their businesses.
Models to drive our programmatic marketing efforts (lead scoring, intent to pay, etc.), including buyer and customer segmentation, etc.
Models to evolve our forms into conversational agents capable of handling bi-directional conversations and responding to goal-oriented requests that do not follow a traditional tree structure associated with forms or traditional chatbots.
The ideal candidate should have experience working on ML solutions and products as well as deploying models into production.
You understand the scalability and performance trade-offs between different frameworks, models architectures, and how to develop and maintain the ML pipeline in distributed and non-distributed environments.
You have worked with Software Engineering teams to improve the product architecture and to allow for easy deployment of machine learning models.
You will also partner with Product, Marketing and Customer Success teams throughout the whole development cycle of the model, from ideation to production.
And for some extra points :