Software Engineer - Machine Learning at Iterable
San Francisco, California, United States
🇺🇸 (Posted Jun 3 2018)
About the company
Iterable is the growth marketing platform that powers personalized omni-channel marketing at scale. Iterable captivates consumers with highly relevant and personalized messaging, activates campaigns on any type of internal and external customer data, and allows marketers to automate campaigns across all channels that matter to their consumer.
Iterable is the growth marketing and user engagement platform. Our mission is to enable B2C marketers, giving them access to the growth marketing and user engagement tools built at companies like Twitter, Facebook, and Pinterest. We know this space well: our product team built the growth systems that powered Twitter’s early success. We've raised over $30M from investors like Index Ventures and CRV and hundreds of companies like AT&T, MLB, Zillow, Box, Foursquare, and ASICS rely on us to captivate their many millions of users.
It’s a very exciting time to join the team as Iterable has recently been recognized as one of 2018's Best Places to Work, we’ve been in the top 20 companies on the SaaS 1000 for 3 quarters in a row, and held our first customer conference which was a sell-out success. At Activate, we launched two important new products -- Iterable Intelligence Suite (AI) and Iterable Insights.
We serve large and small companies spanning many different industries and have the opportunity to analyze large and diverse data sets. You will be building end-to-end Machine Learning systems, and have autonomy to design and build the systems and models that power our ML products. You’ll also get to empower and inform the decision and policies we adopt as a company.
We believe in a strong, friendly engineering culture. You'll ship features your first day here. You'll get to work on what you like (we practice open allocation) and one of our explicit goals as a team is to build a uniquely fun and growth-oriented culture. Our team of hackers and thinkers is small, lean, and empathetic.
Research, design, and build machine learning models
Develop the core decisioning service supporting our machine learning models in production
Work closely with the Iterable engineering team to improve our machine learning infrastructure and data quality
Conduct ad-hoc data analyses; your analyses will decide which policies we adopt, where we expand our business, and whom our partners will be
Skills & requirements
Bachelor's degree or equivalent experience
Deep understanding of, and experience with, machine learning models and data analysis
Deep understanding of both supervised and unsupervised learning methods
Experience with building end-to-end machine learning systems in production
Strong proficiency writing production-quality code
Experience handling large-scale data, big data platforms, and distributed systems
YOU MIGHT WORK ON
Design a data pipeline to make it easy to implement and test new models
Work with other engineers to design and build a feature server
Implement a feature to optimize send times for outgoing message campaigns
Benchmark and improve our multi-armed bandit implementation
Build tools to visualize and debug various features and models
Instructions how to apply
see the website
[ job website
Let them know you found the job via https://Jobhunt.ai
(Companies love to know recruiting strategies that work)