Software Engineer - Machine Learning

DESCRIPTION We are the growth marketing platform that powers true omni-channel relevance at scale.

Our mission is enabling B2C marketers to leverage their customer data in real-time to create relevant, personalized messages across all channels.

We know this space well: our product team built the growth systems that powered Twitters early success.

We've raised over $30M from investors like Index Ventures and CRV, and companies like Zillow, DoorDash, Yelp, and Box rely on us to captivate their millions of users.

We recently passed the 100 employee mark and weve been in the top 20 companies on the SaaS 1000, for 3 quarters in a row.

Its a very exciting time to join the team!

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.

Youll 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.

CORE RESPONSIBILITIES Research, design, and build machine learning models Develop the core decisioning service supporting our machine learning models in production Work closely with the 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 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 CULTURE We are a growth marketing and user engagement platform.

B2C marketers use us to send the right message, to the right device, at the right time.

Our product gives marketers very sophisticated tools that are easy to use and that work across all marketing channels, including email, push notifications, SMS and more.

Why is this a great opportunity?

Because this is a huge market (every single B2C company should be using a tool like ours) that is filled with products/technologies that were built over a decade ago (and it shows). We are growing very quickly and delighting its customers with a platform that is easy to integrate and use, works seamlessly across all marketing channels, and scales to hundreds of millions of users.

With us, we take our work environment and culture very seriously.

Here's what makes us different: We are all very focused on self-improvement We have egalitarian and transparent values We are chill and empathetic people We are proud to be an equal opportunity employer and strives to build a diverse and inclusive team.

We do not discriminate on the basis of race, color, national origin, religion, gender, sexual orientation, age, marital status, veteran status, or disability status.

Best Regards, Kris Kris Young Account Manager BHO Tech San Jose, San Francisco CA Phone: x 823