Senior Data Science Engineer
AdRoll
(San Francisco, California)AdRoll is a leading performance marketing platform with over 35,000 clients worldwide. Its suite of high-performance tools works across devices, helping businesses attract, convert, and grow their customer base. The company is home to the world's largest opt-in advertiser data co-op, the IntentMap™ with over 1.2 billion digital profiles. AdRoll’s goal is to build the most powerful marketing platform through performance, usability, and openness.
The Data Science Engineering team writes the math and software that sit at the heart of AdRoll’s real-time bidding technology, our core product. Our software runs over hundreds of terabytes of data daily to produce its models, which are then subsequently queried billions of times by hundreds of servers. Current members of Data Science Engineering have a passion for not only mathematics, but also technology. You will have the opportunity to stay on the cutting edge of research and then to put this research to practical use by building your own software and infrastructure systems. When you push out your code, you will be able to see the results of your efforts ripple throughout our systems in real-time. Your interests dictate what projects you will tackle. The common thread among all projects is that they require a high level of mathematical sophistication and engineering prowess, due to the scale of our data.
- Discover new predictive insights in our dataset
- Design systems that regularly compute new predictive models
- Read and conduct research to develop mathematical solutions to our most pressing problems
- Engineer to put your research into practice
- Ownership of a system that is the core of our intelligence products
Current projects include:
- Enhancing our machine learning software with the latest in machine learning algorithms
- Employing machine learning and statistical modeling over our petabytes of data to generate new features to feed into our bid-time predictions
- Creating systems that monitor inputs and performance on a real-time basis to inform engineers when unexpected changes arise.
- Performing automated market analyses to dynamically react to changing market conditions
Qualifications:
- BS or MS in Computer Science, Computer Engineering, Mathematics. Strength in both fields is necessary; double majors are a big plus.
- 3+ years experience with C, C++, or Java
- Proven ability at architecting scalable, high performance systems
- Experience translating math into efficient code
- Enthusiasm to work in a fast-paced engineering team
Bonus Points:
- Prior experience with machine learning algorithms and their implementations
- Experience with manipulating large data sets
- Understanding of online ad industry
- Humor. Old school video games. Robots.
Benefits | Benefits included |
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Additional Notes on Compensation
Competitive salary and equity. Medical / Dental benefits. Paid time off and generous holiday schedule. The opportunity to win the coveted Golden Bagel.
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