One sunny Barcelona morning, two designers sat down to build a beautiful lead gen form for a bathroom company’s showroom.
They ended up reimagining the data collection experience, and realized it was one idea they wouldn’t be flushing down the toilet.
Today, Typeform is a team of over 270 people from more than 30 countries, with offices in Barcelona, Spain and San Francisco, US.
We’re building a world where brands, businesses, and their communities can have more personal relationships with the people who matter most.
To do this, we give people the tools they need to have conversational experiences at scale because meaningful relationships start with conversations.
From online lead forms and engaging quizzes, to face-to-face encounters in the office, help us build more meaningful relationships, one conversation at a time.
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 a Senior ML Software Engineer to tackle complex problems collaboratively.
You will team up with our ML Specialists and Data Engineers to design scalable state-of-the-art infrastructure to serve the 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 developing ML libraries and production-ready services. 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.
What you’ll do :
Provide expert advice, make architectural considerations, define and promote standards, find solutions, and employ best practices around ML solutions in production, including instrumentation, debugging and networking.
Here's what we are after :
And for some extra points :