AI/ML Job: Head of Data & Machine Learning

Truebill

Head of Data & Machine Learning at Truebill

San Francisco, Maryland, Washington DC, California, United States 🇺🇸   (Posted Jun 16 2018)
About the company
Truebill is the easiest way to find subscriptions, track bills, and cancel recurring payments.To use Truebill, simply connect your bank account or credit card statement and instantly see everything you're paying for on a recurring basis. Any unwanted subscriptions can be cancelled with just a few clicks, and no headaches. Truebill is backed by YCombinator, Social Capital, Sherpa Capital, and Transmedia Capital.

Job position
Permanent - Remote work possible

Job description
Be an early team member of a YC backed company with seasoned founders (our last company exited for >$100m).

Truebill is an automated financial assistant that helps people optimize their finances without having to think about it. We are growing rapidly and are seeking a data-focused engineer to lead our data & machine learning efforts. We have a ton of data and want to use it to help people manage their finances. Wherever we can, we'll go a step further and automate financial management for people.

Our engineering team is currently 5 people. You will be the first data-focused hire at the company, and this will develop into a core competency of Truebill. That means you need to be confident that you can get the whole data operation setup and also help educate the rest of the team a bit. If you feel like you'd like to learn from more experienced ML engineers, this is probably not the role for you. We have amazing ML advisors and investors who we can lean on, and we have brilliant full-stack software engineers, but you will be leading the ML effort. You'll be making the architectural decisions, with buy-in from the team. Then you'll implement them, with support from the rest of the team.

Skills & requirements
Skills/Experience Required:

* Building out a data pipeline. (Spark?)

* Python? Scala? You tell us what you'd like to use!

* TensorFlow? scikit-learn? You decide!

* SQL proficiency. (We use Postgres)

Bonus:

* Javascript experience. Our entire stack is currently in JS. While the data stuff will likely be in a different language, it's always nice to be comfortable with the consumer-facing stack.

* Experience building web scrapers or analyzing web-based data (DOM or CV).

* React/React Native -- hey, if you want to pitch in on product work, we won't complain.

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)
 

Other jobs that might be interesting

Machine Learning Engineer - Dropbox   (May 2019)
Seattle, Washington, United States
Team Description Our Engineering team is working to simplify the way people work together. They’re building a family of products that handle over a billion files a day for people around the world. With our broad mission and massive scale, there are countles...
Retina Data Scientist - Retina   (May 2019)
Santa Monica, California, United States
As a Data Scientist, you will be working closely with internal data science, product and our engineering team to build scalable data products. You will be creating algorithms that analyze customer data to compute Customer Lifetime Value using (but not limited ...
Blue Apron Machine Learning Engineer - Blue Apron   (May 2019)
New York, New York, United States
Our Technology team is a collection of over 50 talented engineers, analysts, designers, and product managers who have built our web and e-commerce applications, our mobile (iOS and Android) apps, our proprietary Warehouse Management System, and our data platfo...
 
About Jobhunt.ai