Data Engineer/Scientist (Director, Architect or Mid-Level)
Advertising is drowning, and disruptive tactics like banner ads, pop-ups, interstitials, and instant-play videos have destroyed consumer trust. We’re poised to disrupt the broken industry and help brands get heard again. With our software platform, brands leverage powerful social influencers through blogs, Instagram, YouTube, and other channels to distribute valuable content—not self-serving ads—to targeted consumer audiences.
We are a small team with big plans, and as a member, you’ll get in on the ground floor and help architect our brand-new platform powered by the latest big data (Apache Spark, Scala) and web technologies (React / Node). You’ll own your work and create far-reaching impact. With this platform, you will fix advertising.
What We’re Looking For:
- Agile, outspoken, passionate experts who hunger for a challenge, share a commitment to reaching the highest level of success and helping others do the same
- Production experience with Apache Spark, Scala and related technologies moving “big data” through a real-time analytics and ingestion pipeline
- Firm grasp of data science principles: basic (basic data cleansing, regressions, bayesian, logic model selection, basic gradient descent) and advanced (clustering - beyond “just k-means,” deeper machine learning, NLP, advanced algorithms).
- Production experience with scale, clustering, concurrency, JVM memory model
Our Commitment to You:
- No B.S. We will reply to you within 24 hours and we won’t waste your time with sophomoric brain teasers or coding tests. This will move fast.
- True ownership over your work: you’re empowered in your impact and we won’t cripple you with micromanagement
- Above-market compensation: cash, equity, and a generous bonus structure
- Competitive benefits: top-of-the-line equipment, stimulating office space, catering, 401K, and quality medical/dental/vision care
- Offices in Mountain View, CA, Boulder, CO and Denver, CO
We would like to take this opportunity to reaffirm our policy of accepting applicants without regard to race, religion, national origin, sex or age.