Software Engineer Ads
New York / Palo Alto / San Jose
Full Time position directly with our client.
Mason Alexander is working with one of the most transformational technology companies of our time. They have in production, a new payments platform, a creator marketplace, a sports app, video streaming and artificial intelligence;
which will enable billions of users to transact, do business, follow their favourite sports and watch highly personalized content all in one place.
On their behalf, we are looking for exceptional engineers . You are someone who wants to solve big problems and build products that will have an impact on billions of users around the world.
The Focus
- Be involved in the full array of modern applied machine learning work, including ideation, experimentation, implementation, and maintenance.
- This includes work across our ads stack on predictive modeling, improving the way the system explores new traffic, mitigating effects of selection bias, effective budget pacing, efficient AB testing, accurate candidate ranking, visualizations, and more.
- Create scalable services that power new ad products that optimize monetization.
- We are also responsible for Ads Integrity and Brand Safety. Ads served cannot be illegal or scams and advertisers expect their ads to be placed next to brand safe content.
- Design and evaluate novel approaches for handling high-volume real-time data streams in a machine learning environment.
- You’ll own significant projects end-to-end.
- Code using primarily Java and Scala; Map-Reduce frameworks such as Pig and Scalding; and scripting languages such as Python.
- Learn new machine learning, data mining, and / or natural language processing techniques for a variety of modeling and relevance problems involving users, their interests, ads, and relationships among entities.
Your Experience
- Experience in Machine Learning or software engineering.
- Fluent in one or more object-oriented languages like Java, Scala, C#, C++
- Experience and familiarity with the modern data pipeline and ML infrastructure ecosystem.
- Experience in web data analysis : Search engines, sponsored search, contextual ads, performance ads, recommender systems, click predictions and ranking.
- Knowledgeable of core CS concepts such as : common data structures and algorithms.
- Strong knowledge in deep learning, machine learning and backend engineering.
- Comfortable conducting design and code reviews.
- You’ve built and maintained a large-scale distributed system and / or machine learning data pipeline.
- Industry experience with online advertising and / or large-scale distributed systems.
- Prior experience in Ads Integrity or Brand Safety.
Base Salary Range : $127,000 to $297,000 USD + Equity
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